papers.json

[
  {
    "slug": "three_a_tta_fas",
    "full": "3A-TTA",
    "title": "Test-Time Adaptation for Robust Face Anti-Spoofing",
    "authors": "Pei-Kai Huang, Chen-Yu Lu, Shu-Jung Chang, Jun-Xiong Chong, Chiou-Ting Hsu",
    "venue": "BMVC 2023",
    "task": "Classification",
    "url": "https://papers.bmvc2023.org/0379.pdf",
    "pdf": "https://papers.bmvc2023.org/0379.pdf",
    "code": null,
    "bibtex": "@inproceedings{huang20233atta,\n  title={Test-Time Adaptation for Robust Face Anti-Spoofing},\n  author={Huang, Pei-Kai and Lu, Chen-Yu and Chang, Shu-Jung and Chong, Jun-Xiong and Hsu, Chiou-Ting},\n  booktitle={Proceedings of the British Machine Vision Conference (BMVC)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Face Anti-Spoofing",
    "tags": [
      "Face-Anti-Spoofing",
      "Image"
    ]
  },
  {
    "slug": "3dd_tta",
    "full": "3DD-TTA",
    "title": "Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models",
    "authors": "Hamidreza Dastmalchi, Aijun An, Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2411.14495",
    "pdf": "https://arxiv.org/pdf/2411.14495",
    "code": "https://github.com/hamidreza-dastmalchi/3DD-TTA",
    "bibtex": "@inproceedings{dastmalchi20253ddtta,\n  title={Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models},\n  author={Dastmalchi, Hamidreza and An, Aijun and Cheraghian, Ali and Rahman, Shafin and Ramasinghe, Sameera},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Single-image"
    ]
  },
  {
    "slug": "actmad",
    "full": "ActMAD",
    "title": "ActMAD: Activation Matching to Align Distributions for Test-Time-Training",
    "authors": "M. Jehanzeb Mirza, Pol Jane Soneira, Wei Lin, Mateusz Kozinski, Horst Possegger, Horst Bischof",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2211.12870",
    "pdf": "https://arxiv.org/pdf/2211.12870",
    "code": "https://github.com/jmiemirza/ActMAD",
    "bibtex": "@inproceedings{mirza2023actmad,\n  title={ActMAD: Activation Matching to Align Distributions for Test-Time-Training},\n  author={Mirza, M. Jehanzeb and Soneira, Pol Jane and Lin, Wei and Kozinski, Mateusz and Possegger, Horst and Bischof, Horst},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "adabn",
    "full": "AdaBN",
    "title": "Revisiting Batch Normalization For Practical Domain Adaptation",
    "authors": "Yanghao Li, Naiyan Wang, Jianping Shi, Jiaying Liu, Xiaodi Hou",
    "venue": "ICLR 2017 Workshop",
    "task": "Classification",
    "url": "https://arxiv.org/abs/1603.04779",
    "pdf": "https://arxiv.org/pdf/1603.04779",
    "code": null,
    "bibtex": "@article{li2016revisiting,\n  title={Revisiting Batch Normalization For Practical Domain Adaptation},\n  author={Li, Yanghao and Wang, Naiyan and Shi, Jianping and Liu, Jiaying and Hou, Xiaodi},\n  journal={arXiv preprint arXiv:1603.04779},\n  year={2016}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "adacontrast",
    "full": "AdaContrast",
    "title": "Contrastive Test-Time Adaptation",
    "authors": "Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi",
    "venue": "CVPR 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2204.10377",
    "pdf": "https://arxiv.org/pdf/2204.10377",
    "code": "https://github.com/DianCh/AdaContrast",
    "bibtex": "@inproceedings{chen2022contrastive,\n  title={Contrastive Test-Time Adaptation},\n  author={Chen, Dian and Wang, Dequan and Darrell, Trevor and Ebrahimi, Sayna},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "adanpc",
    "full": "AdaNPC",
    "title": "AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation",
    "authors": "Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan",
    "venue": "ICML 2023",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v202/zhang23am.html",
    "pdf": "https://arxiv.org/pdf/2304.12566",
    "code": "https://github.com/yfzhang114/AdaNPC",
    "bibtex": "@inproceedings{zhang2023adanpc,\n  title={AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation},\n  author={Zhang, Yifan and Wang, Xue and Jin, Kexin and Yuan, Kun and Zhang, Zhang and Wang, Liang and Jin, Rong and Tan, Tieniu},\n  booktitle={Proceedings of the 40th International Conference on Machine Learning (ICML)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "adaprompt_rtta",
    "full": "AdaPrompt",
    "title": "Robust Test-Time Adaptation for Zero-Shot Prompt Tuning",
    "authors": "Ding-Chu Zhang, Zhi Zhou, Yu-Feng Li",
    "venue": "AAAI 2024",
    "task": "Classification",
    "url": "https://ojs.aaai.org/index.php/AAAI/article/view/29611",
    "pdf": "https://www.lamda.nju.edu.cn/zhangdc/files/AAAI24/AAAI24_CR.pdf",
    "code": null,
    "bibtex": "@inproceedings{zhang2024adaprompt,\n  title={Robust Test-Time Adaptation for Zero-Shot Prompt Tuning},\n  author={Zhang, Ding-Chu and Zhou, Zhi and Li, Yu-Feng},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},\n  volume={38},\n  pages={16714--16722},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "adaptable_tab",
    "full": "AdapTable",
    "title": "AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler",
    "authors": "Changhun Kim, Taewon Kim, Seungyeon Woo, June Yong Yang, Eunho Yang",
    "venue": "NeurIPS Workshop 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2407.10784",
    "pdf": "https://arxiv.org/pdf/2407.10784",
    "code": "https://github.com/drumpt/AdapTable",
    "bibtex": "@article{kim2024adaptable,\n  title={AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler},\n  author={Kim, Changhun and Kim, Taewon and Woo, Seungyeon and Yang, June Yong and Yang, Eunho},\n  journal={arXiv preprint arXiv:2407.10784},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Tabular Classification",
    "tags": [
      "Tabular",
      "Online",
      "Label-Shift"
    ]
  },
  {
    "slug": "aetta",
    "full": "AETTA",
    "title": "AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation",
    "authors": "Taeckyung Lee, Sorn Chottananurak, Taesik Gong, Sung-Ju Lee",
    "venue": "CVPR 2024",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2404.01351",
    "pdf": "https://arxiv.org/pdf/2404.01351",
    "code": "https://github.com/taeckyung/AETTA",
    "bibtex": "@inproceedings{lee2024aetta,\n  title={AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation},\n  author={Lee, Taeckyung and Chottananurak, Sorn and Gong, Taesik and Lee, Sung-Ju},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "amrod_det",
    "full": "AMROD",
    "title": "Exploring Test-Time Adaptation for Object Detection in Continually Changing Environments",
    "authors": "Shilei Cao, Weijia Li, Yan Liu, Runmin Dong, Juepeng Zheng, Haohuan Fu",
    "venue": "arXiv 2024",
    "task": "Detection",
    "url": "https://arxiv.org/abs/2406.16439",
    "pdf": "https://arxiv.org/pdf/2406.16439",
    "code": null,
    "bibtex": "@article{cao2024exploring,\n  title={Exploring Test-Time Adaptation for Object Detection in Continually Changing Environments},\n  author={Cao, Shilei and Li, Weijia and Liu, Yan and Dong, Runmin and Zheng, Juepeng and Fu, Haohuan},\n  journal={arXiv preprint arXiv:2406.16439},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Object Detection",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "anti_adversary_tta",
    "full": "Anti-Adversary",
    "title": "Combating Adversaries with Anti-Adversaries",
    "authors": "Motasem Alfarra, Juan C. Pérez, Ali Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem",
    "venue": "AAAI 2022",
    "task": "Classification",
    "url": "https://ojs.aaai.org/index.php/AAAI/article/view/20545",
    "pdf": "https://arxiv.org/pdf/2103.14347",
    "code": "https://github.com/MotasemAlfarra/Combating-Adversaries-with-Anti-Adversaries",
    "bibtex": "@inproceedings{alfarra2022combating,\n  title={Combating Adversaries with Anti-Adversaries},\n  author={Alfarra, Motasem and P{\\'e}rez, Juan C. and Thabet, Ali and Bibi, Adel and Torr, Philip H. S. and Ghanem, Bernard},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image",
      "Adversarial"
    ]
  },
  {
    "slug": "model_collapse_qa_tta",
    "full": "Anti-Collapse TTA",
    "title": "Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering",
    "authors": "Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang",
    "venue": "EMNLP 2023",
    "task": "Sequence & Language",
    "url": "https://aclanthology.org/2023.emnlp-main.803/",
    "pdf": "https://aclanthology.org/2023.emnlp-main.803.pdf",
    "code": null,
    "bibtex": "@inproceedings{su2023beware,\n  title={Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering},\n  author={Su, Yi and Ji, Yixin and Li, Juntao and Ye, Hai and Zhang, Min},\n  booktitle={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n  pages={12998--13011},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Reasoning and QA",
    "tags": [
      "Text/Document",
      "Online"
    ]
  },
  {
    "slug": "atp_fed",
    "full": "ATP",
    "title": "Adaptive Test-Time Personalization for Federated Learning",
    "authors": "Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He",
    "venue": "NeurIPS 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2310.18816",
    "pdf": "https://arxiv.org/pdf/2310.18816",
    "code": "https://github.com/baowenxuan/ATP",
    "bibtex": "@inproceedings{bao2023atp,\n  title={Adaptive Test-Time Personalization for Federated Learning},\n  author={Bao, Wenxuan and Wei, Tianxin and Wang, Haohan and He, Jingrui},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Federated TTA",
    "tags": [
      "Image",
      "Federated"
    ]
  },
  {
    "slug": "tta_audio_bgnoise",
    "full": "Audio-BN TTA",
    "title": "An Investigation of Test-time Adaptation for Audio Classification under Background Noise",
    "authors": "Weichuang Shao, Iman Yi Liao, Tomas Henrique Bode Maul, Tissa Chandesa",
    "venue": "arXiv 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2507.15523",
    "pdf": "https://arxiv.org/pdf/2507.15523",
    "code": null,
    "bibtex": "@article{shao2025investigation,\n  title={An Investigation of Test-time Adaptation for Audio Classification under Background Noise},\n  author={Shao, Weichuang and Liao, Iman Yi and Maul, Tomas Henrique Bode and Chandesa, Tissa},\n  journal={arXiv preprint arXiv:2507.15523},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Audio Classification",
    "tags": [
      "Audio",
      "Online"
    ]
  },
  {
    "slug": "auto_ood",
    "full": "AUTO",
    "title": "AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection",
    "authors": "Puning Yang, Jian Liang, Jie Cao, Ran He",
    "venue": "arXiv 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2303.12267",
    "pdf": "https://arxiv.org/pdf/2303.12267",
    "code": null,
    "bibtex": "@article{yang2023auto,\n  title={AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection},\n  author={Yang, Puning and Liang, Jian and Cao, Jie and He, Ran},\n  journal={arXiv preprint arXiv:2303.12267},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "OOD Detection",
    "tags": [
      "Image",
      "Online",
      "Open-set"
    ]
  },
  {
    "slug": "awmc_asr_tta",
    "full": "AWMC",
    "title": "AWMC: Online Test-Time Adaptation Without Mode Collapse for Continual Adaptation",
    "authors": "Jae-Hong Lee, Do-Hee Kim, Joon-Hyuk Chang",
    "venue": "ASRU 2023",
    "task": "Sequence & Language",
    "url": "https://ieeexplore.ieee.org/document/10389640/",
    "pdf": null,
    "code": null,
    "bibtex": "@inproceedings{lee2023awmc,\n  title={AWMC: Online Test-Time Adaptation Without Mode Collapse for Continual Adaptation},\n  author={Lee, Jae-Hong and Kim, Do-Hee and Chang, Joon-Hyuk},\n  booktitle={2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Speech Recognition",
    "tags": [
      "Speech",
      "Online",
      "Continual"
    ]
  },
  {
    "slug": "becotta",
    "full": "BeCoTTA",
    "title": "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation",
    "authors": "Daeun Lee, Jaehong Yoon, Sung Ju Hwang",
    "venue": "ICML 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2402.08712",
    "pdf": "https://arxiv.org/pdf/2402.08712",
    "code": "https://github.com/daeunni/BECoTTA",
    "bibtex": "@inproceedings{lee2024becotta,\n  title={BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation},\n  author={Lee, Daeun and Yoon, Jaehong and Hwang, Sung Ju},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "benchmark_tta",
    "full": "Benchmark-TTA",
    "title": "Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification",
    "authors": "Yongcan Yu, Lijun Sheng, Ran He, Jian Liang",
    "venue": "arXiv 2023",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2307.03133",
    "pdf": "https://arxiv.org/pdf/2307.03133",
    "code": "https://github.com/yuyongcan/Benchmark-TTA",
    "bibtex": "@article{yu2023benchmarktta,\n  title={Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification},\n  author={Yu, Yongcan and Sheng, Lijun and He, Ran and Liang, Jian},\n  journal={arXiv preprint arXiv:2307.03133},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "beyond_tta_survey",
    "full": "Beyond-TTA Survey",
    "title": "Beyond Model Adaptation at Test Time: A Survey",
    "authors": "Zehao Xiao, Cees G. M. Snoek",
    "venue": "arXiv 2024",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2411.03687",
    "pdf": "https://arxiv.org/pdf/2411.03687",
    "code": null,
    "bibtex": "@article{xiao2024beyond,\n  title={Beyond Model Adaptation at Test Time: A Survey},\n  author={Xiao, Zehao and Snoek, Cees G. M.},\n  journal={arXiv preprint arXiv:2411.03687},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "bftt3d_3d_tta",
    "full": "BFTT3D",
    "title": "Backpropagation-free Network for 3D Test-time Adaptation",
    "authors": "Yanshuo Wang, Ali Cheraghian, Zeeshan Hayder, Jie Hong, Sameera Ramasinghe, Shafin Rahman, David Ahmedt-Aristizabal, Xuesong Li, Lars Petersson, Mehrtash Harandi",
    "venue": "CVPR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2403.18442",
    "pdf": "https://arxiv.org/pdf/2403.18442",
    "code": null,
    "bibtex": "@inproceedings{wang2024backpropagationfree,\n  title={Backpropagation-free Network for 3D Test-time Adaptation},\n  author={Wang, Yanshuo and Cheraghian, Ali and Hayder, Zeeshan and Hong, Jie and Ramasinghe, Sameera and Rahman, Shafin and Ahmedt-Aristizabal, David and Li, Xuesong and Petersson, Lars and Harandi, Mehrtash},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Gradient-free"
    ]
  },
  {
    "slug": "billet_tta",
    "full": "Billet-OCR TTA",
    "title": "Billet Number Recognition Based on Test-Time Adaptation",
    "authors": "Yuan Wei, Xiuzhuang Zhou",
    "venue": "arXiv 2025",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2502.09026",
    "pdf": "https://arxiv.org/pdf/2502.09026",
    "code": null,
    "bibtex": "@article{wei2025billet,\n  title={Billet Number Recognition Based on Test-Time Adaptation},\n  author={Wei, Yuan and Zhou, Xiuzhuang},\n  journal={arXiv preprint arXiv:2502.09026},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Text Recognition (OCR)",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "binary_feedback_tta",
    "full": "Binary-Feedback TTA",
    "title": "Test-Time Adaptation with Binary Feedback",
    "authors": "Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong, Sung-Ju Lee",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2505.18514",
    "pdf": "https://arxiv.org/pdf/2505.18514",
    "code": null,
    "bibtex": "@inproceedings{lee2025binaryfeedback,\n  title={Test-Time Adaptation with Binary Feedback},\n  author={Lee, Taeckyung and Chottananurak, Sorn and Kim, Junsu and Shin, Jinwoo and Gong, Taesik and Lee, Sung-Ju},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "bn_adapt",
    "full": "BN-Adapt",
    "title": "Improving Robustness against Common Corruptions by Covariate Shift Adaptation",
    "authors": "Steffen Schneider, Evgenia Rusak, Luisa Eck, Oliver Bringmann, Wieland Brendel, Matthias Bethge",
    "venue": "NeurIPS 2020",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2006.16971",
    "pdf": "https://arxiv.org/pdf/2006.16971",
    "code": "https://github.com/bethgelab/robustness",
    "bibtex": "@inproceedings{schneider2020bnadapt,\n  title={Improving Robustness against Common Corruptions by Covariate Shift Adaptation},\n  author={Schneider, Steffen and Rusak, Evgenia and Eck, Luisa and Bringmann, Oliver and Brendel, Wieland and Bethge, Matthias},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2020}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "boostadapter",
    "full": "BoostAdapter",
    "title": "BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping",
    "authors": "Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-Tao Xia",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2410.15430",
    "pdf": "https://arxiv.org/pdf/2410.15430",
    "code": "https://github.com/taolinzhang/BoostAdapter",
    "bibtex": "@inproceedings{zhang2024boostadapter,\n  title={BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping},\n  author={Zhang, Taolin and Wang, Jinpeng and Guo, Hang and Dai, Tao and Chen, Bin and Xia, Shu-Tao},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Gradient-free"
    ]
  },
  {
    "slug": "ctpt",
    "full": "C-TPT",
    "title": "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion",
    "authors": "Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo",
    "venue": "ICLR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2403.14119",
    "pdf": "https://arxiv.org/pdf/2403.14119",
    "code": "https://github.com/hee-suk-yoon/C-TPT",
    "bibtex": "@inproceedings{yoon2024ctpt,\n  title={C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion},\n  author={Yoon, Hee Suk and Yoon, Eunseop and Tee, Joshua Tian Jin and Hasegawa-Johnson, Mark and Li, Yingzhen and Yoo, Chang D.},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "candi_mtsad_tta",
    "full": "CANDI",
    "title": "CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift",
    "authors": "HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon",
    "venue": "AAAI 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2604.01845",
    "pdf": "https://arxiv.org/pdf/2604.01845",
    "code": null,
    "bibtex": "@inproceedings{kim2026candi,\n  title={CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift},\n  author={Kim, HyunGi and Mok, Jisoo and Lee, Hyungyu and Shin, Juhyeon and Yoon, Sungroh},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2026}\n}",
    "presentation": null,
    "task_fine": "Time-Series Classification",
    "tags": [
      "Time-Series",
      "Online"
    ]
  },
  {
    "slug": "cea_asr",
    "full": "CEA",
    "title": "Advancing Test-Time Adaptation in Wild Acoustic Test Settings",
    "authors": "Hongfu Liu, Hengguan Huang, Ye Wang",
    "venue": "EMNLP 2024",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2310.09505",
    "pdf": "https://arxiv.org/pdf/2310.09505",
    "code": null,
    "bibtex": "@inproceedings{liu2024advancing,\n  title={Advancing Test-Time Adaptation in Wild Acoustic Test Settings},\n  author={Liu, Hongfu and Huang, Hengguan and Wang, Ye},\n  booktitle={Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Speech Recognition",
    "tags": [
      "Speech",
      "Online",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "clipartt",
    "full": "CLIPArTT",
    "title": "CLIPArTT: Adaptation of CLIP to New Domains at Test Time",
    "authors": "Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Moslem Yazdanpanah, Ismail Ben Ayed, Christian Desrosiers",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2405.00754",
    "pdf": "https://arxiv.org/pdf/2405.00754",
    "code": "https://github.com/dosowiechi/CLIPArTT",
    "bibtex": "@inproceedings{hakim2025clipartt,\n  title={CLIPArTT: Adaptation of CLIP to New Domains at Test Time},\n  author={Hakim, Gustavo Adolfo Vargas and Osowiechi, David and Noori, Mehrdad and Cheraghalikhani, Milad and Bahri, Ali and Yazdanpanah, Moslem and Ben Ayed, Ismail and Desrosiers, Christian},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language"
    ]
  },
  {
    "slug": "cloudfixer_3d_tta",
    "full": "CloudFixer",
    "title": "CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation",
    "authors": "Hajin Shim, Changhun Kim, Eunho Yang",
    "venue": "ECCV 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2407.16193",
    "pdf": "https://arxiv.org/pdf/2407.16193",
    "code": "https://github.com/shimazing/CloudFixer",
    "bibtex": "@inproceedings{shim2024cloudfixer,\n  title={CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation},\n  author={Shim, Hajin and Kim, Changhun and Yang, Eunho},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Single-image"
    ]
  },
  {
    "slug": "cmf_tta",
    "full": "CMF",
    "title": "Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation",
    "authors": "Jae-Hong Lee, Joon-Hyuk Chang",
    "venue": "ICLR 2024",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=BllUWdpIOA",
    "pdf": "https://openreview.net/pdf?id=BllUWdpIOA",
    "code": "https://github.com/j-pong/CMF",
    "bibtex": "@inproceedings{lee2024cmf,\n  title={Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation},\n  author={Lee, Jae-Hong and Chang, Joon-Hyuk},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Continual"
    ]
  },
  {
    "slug": "coa_har_tta",
    "full": "COA-HAR",
    "title": "COA-HAR: Exploring contrastive online test-time adaptation for wearable sensor-based human activity recognition using sensor data augmentation",
    "authors": "Vítor Fortes Rey, Pedro Martelleto Bressane Rezende, Bo Zhou, Sungho Suh, Paul Lukowicz",
    "venue": "ESWA 2026",
    "task": "Classification",
    "url": "https://doi.org/10.1016/j.eswa.2025.129288",
    "pdf": null,
    "code": null,
    "bibtex": "@article{rey2026coahar,\n  title={COA-HAR: Exploring contrastive online test-time adaptation for wearable sensor-based human activity recognition using sensor data augmentation},\n  author={Fortes Rey, V{\\'i}tor and Bressane Rezende, Pedro Martelleto and Zhou, Bo and Suh, Sungho and Lukowicz, Paul},\n  journal={Expert Systems with Applications},\n  year={2026}\n}",
    "presentation": null,
    "task_fine": "Activity Recognition",
    "tags": [
      "Video",
      "Online"
    ]
  },
  {
    "slug": "cola_chen",
    "full": "CoLA",
    "title": "Cross-Device Collaborative Test-Time Adaptation",
    "authors": "Guohao Chen, Shuaicheng Niu, Deyu Chen, Shuhai Zhang, Changsheng Li, Yuanqing Li, Mingkui Tan",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=YyMiO0DWmI",
    "pdf": "https://proceedings.neurips.cc/paper_files/paper/2024/file/de0e668df3fe63ec89e5a7e68f3d350f-Paper-Conference.pdf",
    "code": "https://github.com/Cascol-Chen/COLA",
    "bibtex": "@inproceedings{chen2024cola,\n  title={Cross-Device Collaborative Test-Time Adaptation},\n  author={Chen, Guohao and Niu, Shuaicheng and Chen, Deyu and Zhang, Shuhai and Li, Changsheng and Li, Yuanqing and Tan, Mingkui},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Federated TTA",
    "tags": [
      "Image",
      "Federated"
    ]
  },
  {
    "slug": "come",
    "full": "COME",
    "title": "COME: Test-time Adaption by Conservatively Minimizing Entropy",
    "authors": "Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2410.10894",
    "pdf": "https://arxiv.org/pdf/2410.10894",
    "code": "https://github.com/BlueWhaleLab/COME",
    "bibtex": "@inproceedings{zhang2025come,\n  title={COME: Test-time Adaption by Conservatively Minimizing Entropy},\n  author={Zhang, Qingyang and Bian, Yatao and Kong, Xinke and Zhao, Peilin and Zhang, Changqing},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "conjugate_pl",
    "full": "Conjugate PL",
    "title": "Test-Time Adaptation via Conjugate Pseudo-labels",
    "authors": "Sachin Goyal, Mingjie Sun, Aditi Raghunathan, J. Zico Kolter",
    "venue": "NeurIPS 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2207.09640",
    "pdf": "https://arxiv.org/pdf/2207.09640",
    "code": "https://github.com/locuslab/tta_conjugate",
    "bibtex": "@inproceedings{goyal2022conjugate,\n  title={Test-Time Adaptation via Conjugate Pseudo-labels},\n  author={Goyal, Sachin and Sun, Mingjie and Raghunathan, Aditi and Kolter, J. Zico},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "continual_mae",
    "full": "Continual-MAE",
    "title": "Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation",
    "authors": "Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang",
    "venue": "CVPR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2312.12480",
    "pdf": "https://arxiv.org/pdf/2312.12480",
    "code": "https://github.com/RanXu2000/continual-mae",
    "bibtex": "@inproceedings{liu2024continualmae,\n  title={Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation},\n  author={Liu, Jiaming and Xu, Ran and Yang, Senqiao and Zhang, Renrui and Zhang, Qizhe and Chen, Zehui and Guo, Yandong and Zhang, Shanghang},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "cotta",
    "full": "CoTTA",
    "title": "Continual Test-Time Domain Adaptation",
    "authors": "Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai",
    "venue": "CVPR 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2203.13591",
    "pdf": "https://arxiv.org/pdf/2203.13591",
    "code": "https://github.com/qinenergy/cotta",
    "bibtex": "@inproceedings{wang2022continual,\n  title={Continual Test-Time Domain Adaptation},\n  author={Wang, Qin and Fink, Olga and Van Gool, Luc and Dai, Dengxin},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "whatwhenhow_det",
    "full": "CTAOD",
    "title": "What, How, and When Should Object Detectors Update in Continually Changing Test Domains?",
    "authors": "Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak",
    "venue": "CVPR 2024",
    "task": "Detection",
    "url": "https://arxiv.org/abs/2312.08875",
    "pdf": "https://arxiv.org/pdf/2312.08875",
    "code": "https://github.com/natureyoo/ContinualTTA_ObjectDetection",
    "bibtex": "@inproceedings{yoo2024what,\n  title={What, How, and When Should Object Detectors Update in Continually Changing Test Domains?},\n  author={Yoo, Jayeon and Lee, Dongkwan and Chung, Inseop and Kim, Donghyun and Kwak, Nojun},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Object Detection",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "cycleadapt_pose_tta",
    "full": "CycleAdapt",
    "title": "Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction",
    "authors": "Hyeongjin Nam, Daniel Sungho Jung, Yeonguk Oh, Kyoung Mu Lee",
    "venue": "ICCV 2023",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2308.06554",
    "pdf": "https://arxiv.org/pdf/2308.06554",
    "code": "https://github.com/hygenie1228/CycleAdapt_RELEASE",
    "bibtex": "@inproceedings{nam2023cyclic,\n  title={Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction},\n  author={Nam, Hyeongjin and Jung, Daniel Sungho and Oh, Yeonguk and Lee, Kyoung Mu},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Regression",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Video",
      "Online"
    ]
  },
  {
    "slug": "dart3",
    "full": "DART3",
    "title": "DART3: Leveraging Distance for Test Time Adaptation in Person Re-Identification",
    "authors": "Rajarshi Bhattacharya, Shakeeb Murtaza, Christian Desrosiers, Jose Dolz, Maguelonne Heritier, Eric Granger",
    "venue": "arXiv 2025",
    "task": "Retrieval & Ranking",
    "url": "https://arxiv.org/abs/2505.18337",
    "pdf": "https://arxiv.org/pdf/2505.18337",
    "code": null,
    "bibtex": "@article{bhattacharya2025dart3,\n  title={DART3: Leveraging Distance for Test Time Adaptation in Person Re-Identification},\n  author={Bhattacharya, Rajarshi and Murtaza, Shakeeb and Desrosiers, Christian and Dolz, Jose and Heritier, Maguelonne and Granger, Eric},\n  journal={arXiv preprint arXiv:2505.18337},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Person Re-ID",
    "tags": [
      "Image",
      "Person-ReID"
    ]
  },
  {
    "slug": "dda",
    "full": "DDA",
    "title": "Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption",
    "authors": "Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2207.03442",
    "pdf": "https://arxiv.org/pdf/2207.03442",
    "code": "https://github.com/shiyegao/DDA",
    "bibtex": "@inproceedings{gao2023dda,\n  title={Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption},\n  author={Gao, Jin and Zhang, Jialing and Liu, Xihui and Darrell, Trevor and Shelhamer, Evan and Wang, Dequan},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image",
      "Gradient-free"
    ]
  },
  {
    "slug": "delta",
    "full": "DELTA",
    "title": "DELTA: Degradation-Free Fully Test-Time Adaptation",
    "authors": "Bowen Zhao, Chen Chen, Shu-Tao Xia",
    "venue": "ICLR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2301.13018",
    "pdf": "https://arxiv.org/pdf/2301.13018",
    "code": null,
    "bibtex": "@inproceedings{zhao2023delta,\n  title={DELTA: Degradation-Free Fully Test-Time Adaptation},\n  author={Zhao, Bowen and Chen, Chen and Xia, Shu-Tao},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Label-Shift"
    ]
  },
  {
    "slug": "deyo",
    "full": "DeYO",
    "title": "Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors",
    "authors": "Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon",
    "venue": "ICLR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2403.07366",
    "pdf": "https://arxiv.org/pdf/2403.07366",
    "code": "https://github.com/Jhyun17/DeYO",
    "bibtex": "@inproceedings{lee2024entropy,\n  title={Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors},\n  author={Lee, Jonghyun and Jung, Dahuin and Lee, Saehyung and Park, Junsung and Shin, Juhyeon and Hwang, Uiwon and Yoon, Sungroh},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2024}\n}",
    "presentation": "Spotlight",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "difftpt",
    "full": "DiffTPT",
    "title": "Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning",
    "authors": "Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo",
    "venue": "ICCV 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2308.06038",
    "pdf": "https://arxiv.org/pdf/2308.06038",
    "code": "https://github.com/chunmeifeng/DiffTPT",
    "bibtex": "@inproceedings{feng2023difftpt,\n  title={Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning},\n  author={Feng, Chun-Mei and Yu, Kai and Liu, Yong and Khan, Salman and Zuo, Wangmeng},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "diffusion_tta",
    "full": "Diffusion-TTA",
    "title": "Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback",
    "authors": "Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki",
    "venue": "NeurIPS 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2311.16102",
    "pdf": "https://arxiv.org/pdf/2311.16102",
    "code": "https://github.com/mihirp1998/Diffusion-TTA",
    "bibtex": "@inproceedings{prabhudesai2023diffusiontta,\n  title={Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback},\n  author={Prabhudesai, Mihir and Ke, Tsung-Wei and Li, Alexander C. and Pathak, Deepak and Fragkiadaki, Katerina},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ]
  },
  {
    "slug": "diga_seg",
    "full": "DIGA",
    "title": "Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation",
    "authors": "Wei Wang, Zhun Zhong, Weijie Wang, Xi Chen, Charles Ling, Boyu Wang, Nicu Sebe",
    "venue": "CVPR 2023",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/CVPR2023/html/Wang_Dynamically_Instance-Guided_Adaptation_A_Backward-Free_Approach_for_Test-Time_Domain_Adaptive_CVPR_2023_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Dynamically_Instance-Guided_Adaptation_A_Backward-Free_Approach_for_Test-Time_Domain_Adaptive_CVPR_2023_paper.pdf",
    "code": "https://github.com/Waybaba/DIGA",
    "bibtex": "@inproceedings{wang2023dynamically,\n  title={Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation},\n  author={Wang, Wei and Zhong, Zhun and Wang, Weijie and Chen, Xi and Ling, Charles and Wang, Boyu and Sebe, Nicu},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Gradient-free"
    ]
  },
  {
    "slug": "divbuffer",
    "full": "Diversity Buffer",
    "title": "Diversity-Aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-Time Adaptation",
    "authors": "Mario Döbler, Florian Marencke, Robert A. Marsden, Bin Yang",
    "venue": "ICASSP 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2401.00989",
    "pdf": "https://arxiv.org/pdf/2401.00989",
    "code": "https://github.com/mariodoebler/test-time-adaptation",
    "bibtex": "@inproceedings{doebler2024diversitybuffer,\n  title={Diversity-Aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-Time Adaptation},\n  author={D{\\\"o}bler, Mario and Marencke, Florian and Marsden, Robert A. and Yang, Bin},\n  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "dltta_med",
    "full": "DLTTA",
    "title": "DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images",
    "authors": "Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou",
    "venue": "IEEE TMI 2022",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2205.13723",
    "pdf": "https://arxiv.org/pdf/2205.13723",
    "code": "https://github.com/med-air/DLTTA",
    "bibtex": "@article{yang2022dltta,\n  title={DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images},\n  author={Yang, Hongzheng and Chen, Cheng and Jiang, Meirui and Liu, Quande and Cao, Jianfeng and Heng, Pheng-Ann and Dou, Qi},\n  journal={IEEE Transactions on Medical Imaging},\n  volume={41},\n  number={12},\n  pages={3575--3586},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Medical",
      "Online"
    ]
  },
  {
    "slug": "dmn_clip",
    "full": "DMN",
    "title": "Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models",
    "authors": "Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang",
    "venue": "CVPR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2403.17589",
    "pdf": "https://arxiv.org/pdf/2403.17589",
    "code": "https://github.com/YBZh/DMN",
    "bibtex": "@inproceedings{zhang2024dmn,\n  title={Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models},\n  author={Zhang, Yabin and Zhu, Wenjie and Tang, Hui and Ma, Zhiyuan and Zhou, Kaiyang and Zhang, Lei},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Gradient-free"
    ]
  },
  {
    "slug": "dmsuta",
    "full": "DMSUTA",
    "title": "Dynamic Model-Bank Test-Time Adaptation for Automatic Speech Recognition",
    "authors": "Yanshuo Wang, Yanghao Zhou, Yukang Lin, Haoxing Chen, Jin Zhang, Wentao Zhu, Jie Hong, Xuesong Li",
    "venue": "EMNLP 2025",
    "task": "Sequence & Language",
    "url": "https://aclanthology.org/2025.emnlp-main.1107/",
    "pdf": "https://aclanthology.org/2025.emnlp-main.1107.pdf",
    "code": null,
    "bibtex": "@inproceedings{wang2025dmsuta,\n  title={Dynamic Model-Bank Test-Time Adaptation for Automatic Speech Recognition},\n  author={Wang, Yanshuo and Zhou, Yanghao and Lin, Yukang and Chen, Haoxing and Zhang, Jin and Zhu, Wentao and Hong, Jie and Li, Xuesong},\n  booktitle={Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Speech Recognition",
    "tags": [
      "Speech",
      "Online",
      "Continual"
    ]
  },
  {
    "slug": "doctta",
    "full": "DocTTA",
    "title": "Test-Time Adaptation for Visual Document Understanding",
    "authors": "Sayna Ebrahimi, Sercan O. Arik, Tomas Pfister",
    "venue": "TMLR 2023",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2206.07240",
    "pdf": "https://arxiv.org/pdf/2206.07240",
    "code": null,
    "bibtex": "@article{ebrahimi2023doctta,\n  title={Test-Time Adaptation for Visual Document Understanding},\n  author={Ebrahimi, Sayna and Arik, Sercan O. and Pfister, Tomas},\n  journal={Transactions on Machine Learning Research (TMLR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Document Understanding",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "docttt",
    "full": "DocTTT",
    "title": "DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning",
    "authors": "Wenhao Gu, Li Gu, Ziqiang Wang, Ching Yee Suen, Yang Wang",
    "venue": "WACV 2025",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2501.12898",
    "pdf": "https://arxiv.org/pdf/2501.12898",
    "code": null,
    "bibtex": "@inproceedings{gu2025docttt,\n  title={DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning},\n  author={Gu, Wenhao and Gu, Li and Wang, Ziqiang and Suen, Ching Yee and Wang, Yang},\n  booktitle={IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Text Recognition (OCR)",
    "tags": [
      "Text/Document",
      "Single-image"
    ]
  },
  {
    "slug": "dpcore",
    "full": "DPCore",
    "title": "DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation",
    "authors": "Yunbei Zhang, Akshay Mehra, Shuaicheng Niu, Jihun Hamm",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2406.10737",
    "pdf": "https://arxiv.org/pdf/2406.10737",
    "code": "https://github.com/yunbeizhang/DPCore",
    "bibtex": "@inproceedings{zhang2025dpcore,\n  title={DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation},\n  author={Zhang, Yunbei and Mehra, Akshay and Niu, Shuaicheng and Hamm, Jihun},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning (ICML)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Vision-Language",
      "Continual"
    ]
  },
  {
    "slug": "dpe_clip",
    "full": "DPE",
    "title": "Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models",
    "authors": "Ce Zhang, Simon Stepputtis, Katia Sycara, Yaqi Xie",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2410.12790",
    "pdf": "https://arxiv.org/pdf/2410.12790",
    "code": "https://github.com/zhangce01/DPE-CLIP",
    "bibtex": "@inproceedings{zhang2024dual,\n  title={Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models},\n  author={Zhang, Ce and Stepputtis, Simon and Sycara, Katia and Xie, Yaqi},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Gradient-free"
    ]
  },
  {
    "slug": "dpl_wang",
    "full": "DPL",
    "title": "Decoupled Prototype Learning for Reliable Test-Time Adaptation",
    "authors": "Guowei Wang, Changxing Ding, Wentao Tan, Mingkui Tan",
    "venue": "IEEE TMM 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2401.08703",
    "pdf": "https://arxiv.org/pdf/2401.08703",
    "code": null,
    "bibtex": "@article{wang2025dpl,\n  title={Decoupled Prototype Learning for Reliable Test-Time Adaptation},\n  author={Wang, Guowei and Ding, Changxing and Tan, Wentao and Tan, Mingkui},\n  journal={IEEE Transactions on Multimedia (TMM)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "dplot",
    "full": "DPLOT",
    "title": "Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation",
    "authors": "Yeonguk Yu, Sungho Shin, Seunghyeok Back, Mihwan Ko, Sangjun Noh, Kyoobin Lee",
    "venue": "CVPR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2404.10966",
    "pdf": "https://arxiv.org/pdf/2404.10966",
    "code": "https://github.com/gist-ailab/domain-specific-block-selection-and-paired-view-pseudo-labeling-for-online-TTA",
    "bibtex": "@inproceedings{yu2024dplot,\n  title={Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation},\n  author={Yu, Yeonguk and Shin, Sungho and Back, Seunghyeok and Ko, Mihwan and Noh, Sangjun and Lee, Kyoobin},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "dpo_3ddet",
    "full": "DPO",
    "title": "DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection",
    "authors": "Zhuoxiao Chen, Yadan Luo, Zheng Wang, Mahsa Baktashmotlagh, Zi Huang",
    "venue": "ACM MM 2024",
    "task": "Detection",
    "url": "https://arxiv.org/abs/2406.13891",
    "pdf": "https://arxiv.org/pdf/2406.13891",
    "code": "https://github.com/Jo-wang/DPO",
    "bibtex": "@inproceedings{chen2024dpo,\n  title={DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection},\n  author={Chen, Zhuoxiao and Luo, Yadan and Wang, Zheng and Baktashmotlagh, Mahsa and Huang, Zi},\n  booktitle={Proceedings of the ACM International Conference on Multimedia (MM)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Object Detection",
    "tags": [
      "3D/Point-Cloud",
      "Image"
    ]
  },
  {
    "slug": "dss",
    "full": "DSS",
    "title": "Continual Test-time Domain Adaptation via Dynamic Sample Selection",
    "authors": "Yanshuo Wang, Jie Hong, Ali Cheraghian, Shafin Rahman, David Ahmedt-Aristizabal, Lars Petersson, Mehrtash Harandi",
    "venue": "WACV 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2310.03335",
    "pdf": "https://arxiv.org/pdf/2310.03335",
    "code": null,
    "bibtex": "@inproceedings{wang2024continual,\n  title={Continual Test-time Domain Adaptation via Dynamic Sample Selection},\n  author={Wang, Yanshuo and Hong, Jie and Cheraghian, Ali and Rahman, Shafin and Ahmedt-Aristizabal, David and Petersson, Lars and Harandi, Mehrtash},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "dsuta",
    "full": "DSUTA",
    "title": "Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech",
    "authors": "Guan-Ting Lin, Wei-Ping Huang, Hung-yi Lee",
    "venue": "EMNLP 2024",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2406.11064",
    "pdf": "https://arxiv.org/pdf/2406.11064",
    "code": "https://github.com/hhhaaahhhaa/ASR-TTA",
    "bibtex": "@inproceedings{lin2024dsuta,\n  title={Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech},\n  author={Lin, Guan-Ting and Huang, Wei-Ping and Lee, Hung-yi},\n  booktitle={Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Speech Recognition",
    "tags": [
      "Speech",
      "Continual"
    ]
  },
  {
    "slug": "dua",
    "full": "DUA",
    "title": "The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization",
    "authors": "M. Jehanzeb Mirza, Jakub Micorek, Horst Possegger, Horst Bischof",
    "venue": "CVPR 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2112.00463",
    "pdf": "https://arxiv.org/pdf/2112.00463",
    "code": "https://github.com/jmiemirza/DUA",
    "bibtex": "@inproceedings{mirza2022dua,\n  title={The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization},\n  author={Mirza, M. Jehanzeb and Micorek, Jakub and Possegger, Horst and Bischof, Horst},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "dusa",
    "full": "DUSA",
    "title": "Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation",
    "authors": "Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2501.00873",
    "pdf": "https://arxiv.org/pdf/2501.00873",
    "code": "https://github.com/BIT-DA/DUSA",
    "bibtex": "@inproceedings{li2024dusa,\n  title={Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation},\n  author={Li, Mingjia and Li, Shuang and Su, Tongrui and Yuan, Longhui and Liang, Jian and Li, Wei},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "dynaprompt",
    "full": "DynaPrompt",
    "title": "DynaPrompt: Dynamic Test-Time Prompt Tuning",
    "authors": "Zehao Xiao, Shilin Yan, Jack Hong, Jiayin Cai, Xiaolong Jiang, Yao Hu, Jiayi Shen, Qi Wang, Cees G. M. Snoek",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2501.16404",
    "pdf": "https://arxiv.org/pdf/2501.16404",
    "code": null,
    "bibtex": "@inproceedings{xiao2025dynaprompt,\n  title={DynaPrompt: Dynamic Test-Time Prompt Tuning},\n  author={Xiao, Zehao and Yan, Shilin and Hong, Jack and Cai, Jiayin and Jiang, Xiaolong and Hu, Yao and Shen, Jiayi and Wang, Qi and Snoek, Cees G. M.},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "eata",
    "full": "EATA",
    "title": "Efficient Test-Time Model Adaptation without Forgetting",
    "authors": "Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan",
    "venue": "ICML 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2204.02610",
    "pdf": "https://arxiv.org/pdf/2204.02610",
    "code": "https://github.com/mr-eggplant/EATA",
    "bibtex": "@inproceedings{niu2022efficient,\n  title={Efficient Test-Time Model Adaptation without Forgetting},\n  author={Niu, Shuaicheng and Wu, Jiaxiang and Zhang, Yifan and Chen, Yaofo and Zheng, Shijian and Zhao, Peilin and Tan, Mingkui},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2022}\n}",
    "presentation": "Spotlight",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "eata_c_tan",
    "full": "EATA-C",
    "title": "Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting",
    "authors": "Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu",
    "venue": "IEEE TPAMI 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2403.11491",
    "pdf": "https://arxiv.org/pdf/2403.11491",
    "code": null,
    "bibtex": "@article{tan2025eatac,\n  title={Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting},\n  author={Tan, Mingkui and Chen, Guohao and Wu, Jiaxiang and Zhang, Yifan and Chen, Yaofo and Zhao, Peilin and Niu, Shuaicheng},\n  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Continual"
    ]
  },
  {
    "slug": "ecotta",
    "full": "EcoTTA",
    "title": "EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization",
    "authors": "Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2303.01904",
    "pdf": "https://arxiv.org/pdf/2303.01904",
    "code": null,
    "bibtex": "@inproceedings{song2023ecotta,\n  title={EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization},\n  author={Song, Junha and Lee, Jungsoo and Kweon, In So and Choi, Sungha},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "eeg_otta_mi",
    "full": "EEG-OTTA",
    "title": "Calibration-free online test-time adaptation for electroencephalography motor imagery decoding",
    "authors": "Martin Wimpff, Mario Döbler, Bin Yang",
    "venue": "BCI 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2311.18520",
    "pdf": "https://arxiv.org/pdf/2311.18520",
    "code": null,
    "bibtex": "@inproceedings{wimpff2024calibrationfree,\n  title={Calibration-free online test-time adaptation for electroencephalography motor imagery decoding},\n  author={Wimpff, Martin and D{\\\"o}bler, Mario and Yang, Bin},\n  booktitle={International Winter Conference on Brain-Computer Interface (BCI)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Time-Series Classification",
    "tags": [
      "EEG/Bio-signal",
      "Time-Series",
      "Online"
    ]
  },
  {
    "slug": "emo_tta",
    "full": "EMO-TTA",
    "title": "EMO-TTA: Improving Test-Time Adaptation of Audio-Language Models for Speech Emotion Recognition",
    "authors": "Jiacheng Shi, Hongfei Du, Y. Alicia Hong, Ye Gao",
    "venue": "ICASSP 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2509.25495",
    "pdf": "https://arxiv.org/pdf/2509.25495",
    "code": null,
    "bibtex": "@inproceedings{shi2026emotta,\n  title={EMO-TTA: Improving Test-Time Adaptation of Audio-Language Models for Speech Emotion Recognition},\n  author={Shi, Jiacheng and Du, Hongfei and Hong, Y. Alicia and Gao, Ye},\n  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},\n  year={2026}\n}",
    "presentation": null,
    "task_fine": "Audio Classification",
    "tags": [
      "Audio",
      "Speech",
      "Online"
    ]
  },
  {
    "slug": "fedthe",
    "full": "FedTHE",
    "title": "Test-Time Robust Personalization for Federated Learning",
    "authors": "Liangze Jiang, Tao Lin",
    "venue": "ICLR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2205.10920",
    "pdf": "https://arxiv.org/pdf/2205.10920",
    "code": "https://github.com/LINs-lab/FedTHE",
    "bibtex": "@inproceedings{jiang2023fedthe,\n  title={Test-Time Robust Personalization for Federated Learning},\n  author={Jiang, Liangze and Lin, Tao},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Federated TTA",
    "tags": [
      "Image",
      "Federated"
    ]
  },
  {
    "slug": "foa_niu",
    "full": "FOA",
    "title": "Test-Time Model Adaptation with Only Forward Passes",
    "authors": "Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao",
    "venue": "ICML 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2404.01650",
    "pdf": "https://arxiv.org/pdf/2404.01650",
    "code": "https://github.com/mr-eggplant/FOA",
    "bibtex": "@inproceedings{niu2024foa,\n  title={Test-Time Model Adaptation with Only Forward Passes},\n  author={Niu, Shuaicheng and Miao, Chunyan and Chen, Guohao and Wu, Pengcheng and Zhao, Peilin},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2024}\n}",
    "presentation": "Oral",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Gradient-free"
    ]
  },
  {
    "slug": "frgnn",
    "full": "FR-GNN",
    "title": "FR-GNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction",
    "authors": "Rui Ding, Jielong Yang, Feng Ji, Xionghu Zhong, Linbo Xie",
    "venue": "arXiv 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2308.09259",
    "pdf": "https://arxiv.org/pdf/2308.09259",
    "code": null,
    "bibtex": "@article{ding2023frgnn,\n  title={FR-GNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction},\n  author={Ding, Rui and Yang, Jielong and Ji, Feng and Zhong, Xionghu and Xie, Linbo},\n  journal={arXiv preprint arXiv:2308.09259},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "ftat",
    "full": "FTAT",
    "title": "Fully Test-time Adaptation for Tabular Data",
    "authors": "Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo, Yu-Feng Li",
    "venue": "AAAI 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2412.10871",
    "pdf": "https://arxiv.org/pdf/2412.10871",
    "code": "https://wnjxyk.github.io/FTTA",
    "bibtex": "@inproceedings{zhou2025ftat,\n  title={Fully Test-time Adaptation for Tabular Data},\n  author={Zhou, Zhi and Yu, Kun-Yang and Guo, Lan-Zhe and Li, Yu-Feng},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Tabular Classification",
    "tags": [
      "Tabular",
      "Online"
    ]
  },
  {
    "slug": "feature_decrement_ftta",
    "full": "FTTA-FD",
    "title": "Fully Test-Time Adaptation for Feature Decrement in Tabular Data",
    "authors": "Zi-Jian Cheng, Zi-Yi Jia, Kun-Yang Yu, Zhi Zhou, Lan-Zhe Guo",
    "venue": "IJCAI 2025",
    "task": "Classification",
    "url": "https://www.ijcai.org/proceedings/2025/550",
    "pdf": "https://www.ijcai.org/proceedings/2025/0550.pdf",
    "code": null,
    "bibtex": "@inproceedings{cheng2025feature,\n  title={Fully Test-Time Adaptation for Feature Decrement in Tabular Data},\n  author={Cheng, Zi-Jian and Jia, Zi-Yi and Yu, Kun-Yang and Zhou, Zhi and Guo, Lan-Zhe},\n  booktitle={Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Tabular Classification",
    "tags": [
      "Tabular"
    ]
  },
  {
    "slug": "gadt3",
    "full": "GAD-T3",
    "title": "Cross-Domain Graph Anomaly Detection via Test-Time Training with Homophily-Guided Self-Supervision",
    "authors": "Delaram Pirhayati, Arlei Silva",
    "venue": "TMLR 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2502.14293",
    "pdf": "https://arxiv.org/pdf/2502.14293",
    "code": null,
    "bibtex": "@article{pirhayati2025gadt3,\n  title={Cross-Domain Graph Anomaly Detection via Test-Time Training with Homophily-Guided Self-Supervision},\n  author={Pirhayati, Delaram and Silva, Arlei},\n  journal={Transactions on Machine Learning Research (TMLR)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "gapgc",
    "full": "GAPGC",
    "title": "GraphTTA: Test Time Adaptation on Graph Neural Networks",
    "authors": "Guanzi Chen, Jiying Zhang, Xi Xiao, Yang Li",
    "venue": "arXiv 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2208.09126",
    "pdf": "https://arxiv.org/pdf/2208.09126",
    "code": null,
    "bibtex": "@article{chen2022graphtta,\n  title={GraphTTA: Test Time Adaptation on Graph Neural Networks},\n  author={Chen, Guanzi and Zhang, Jiying and Xiao, Xi and Li, Yang},\n  journal={arXiv preprint arXiv:2208.09126},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Graph Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "generalizeformer",
    "full": "GeneralizeFormer",
    "title": "GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts",
    "authors": "Sameer Ambekar, Zehao Xiao, Xiantong Zhen, Cees G. M. Snoek",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2502.12195",
    "pdf": "https://arxiv.org/pdf/2502.12195",
    "code": null,
    "bibtex": "@inproceedings{ambekar2025generalizeformer,\n  title={GeneralizeFormer: Layer-Adaptive Model Generation Across Test-Time Distribution Shifts},\n  author={Ambekar, Sameer and Xiao, Zehao and Zhen, Xiantong and Snoek, Cees G. M.},\n  booktitle={IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "ggtta_deng",
    "full": "GGTTA",
    "title": "Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers",
    "authors": "Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu",
    "venue": "AAAI 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2412.16901",
    "pdf": "https://arxiv.org/pdf/2412.16901",
    "code": null,
    "bibtex": "@inproceedings{deng2025ggtta,\n  title={Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers},\n  author={Deng, Qi and Niu, Shuaicheng and Zhang, Ronghao and Chen, Yaofo and Zeng, Runhao and Chen, Jian and Hu, Xiping},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "gipso",
    "full": "GIPSO",
    "title": "GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation",
    "authors": "Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi",
    "venue": "ECCV 2022",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2207.09763",
    "pdf": "https://arxiv.org/pdf/2207.09763",
    "code": "https://github.com/saltoricristiano/gipso-sfouda",
    "bibtex": "@inproceedings{saltori2022gipso,\n  title={GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation},\n  author={Saltori, Cristiano and Krivosheev, Evgeny and Lathuili{\\`e}re, St{\\'e}phane and Sebe, Nicu and Galasso, Fabio and Fiameni, Giuseppe and Ricci, Elisa and Poiesi, Fabio},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Online"
    ]
  },
  {
    "slug": "gold",
    "full": "GOLD",
    "title": "The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation",
    "authors": "Guannan Lai, Da-Wei Zhou, Zhenguo Li, Han-Jia Ye",
    "venue": "CVPR 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2603.21928",
    "pdf": "https://arxiv.org/pdf/2603.21928",
    "code": "https://github.com/AIGNLAI/GOLD",
    "bibtex": "@inproceedings{lai2026golden,\n  title={The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation},\n  author={Lai, Guannan and Zhou, Da-Wei and Li, Zhenguo and Ye, Han-Jia},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2026}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "goodat",
    "full": "GOODAT",
    "title": "GOODAT: Towards Test-Time Graph Out-of-Distribution Detection",
    "authors": "Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua",
    "venue": "AAAI 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2401.06176",
    "pdf": "https://arxiv.org/pdf/2401.06176",
    "code": "https://github.com/Ee1s/GOODAT",
    "bibtex": "@inproceedings{wang2024goodat,\n  title={GOODAT: Towards Test-Time Graph Out-of-Distribution Detection},\n  author={Wang, Luzhi and He, Dongxiao and Zhang, He and Liu, Yixin and Wang, Wenjie and Pan, Shirui and Jin, Di and Chua, Tat-Seng},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Graph Classification",
    "tags": [
      "Graph",
      "Open-set"
    ]
  },
  {
    "slug": "grail",
    "full": "GRAIL",
    "title": "From Noisy to Native: LLM-driven Graph Restoration for Test-Time Graph Domain Adaptation",
    "authors": "Xiangwei Lv, JinLuan Yang, Wang Lin, Jingyuan Chen, Beishui Liao",
    "venue": "arXiv 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2510.07762",
    "pdf": "https://arxiv.org/pdf/2510.07762",
    "code": null,
    "bibtex": "@article{lv2025grail,\n  title={From Noisy to Native: LLM-driven Graph Restoration for Test-Time Graph Domain Adaptation},\n  author={Lv, Xiangwei and Yang, JinLuan and Lin, Wang and Chen, Jingyuan and Liao, Beishui},\n  journal={arXiv preprint arXiv:2510.07762},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "graphcta",
    "full": "GraphCTA",
    "title": "Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation",
    "authors": "Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He",
    "venue": "WWW 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2403.01467",
    "pdf": "https://arxiv.org/pdf/2403.01467",
    "code": "https://github.com/cszhangzhen/GraphCTA",
    "bibtex": "@inproceedings{zhang2024graphcta,\n  title={Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation},\n  author={Zhang, Zhen and Liu, Meihan and Wang, Anhui and Chen, Hongyang and Li, Zhao and Bu, Jiajun and He, Bingsheng},\n  booktitle={Proceedings of the ACM Web Conference (WWW)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "graphpatcher_tta",
    "full": "GraphPatcher",
    "title": "GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation",
    "authors": "Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye",
    "venue": "NeurIPS 2023",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=puupdGOWUp",
    "pdf": "https://arxiv.org/pdf/2310.00800",
    "code": "https://github.com/jumxglhf/GraphPatcher",
    "bibtex": "@inproceedings{ju2023graphpatcher,\n  title={GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation},\n  author={Ju, Mingxuan and Zhao, Tong and Yu, Wenhao and Shah, Neil and Ye, Yanfang},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "gt3_graph_ttt",
    "full": "GT3",
    "title": "Test-Time Training for Graph Neural Networks",
    "authors": "Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie",
    "venue": "arXiv 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2210.08813",
    "pdf": "https://arxiv.org/pdf/2210.08813",
    "code": null,
    "bibtex": "@article{wang2022testtime,\n  title={Test-Time Training for Graph Neural Networks},\n  author={Wang, Yiqi and Li, Chaozhuo and Jin, Wei and Li, Rui and Zhao, Jianan and Tang, Jiliang and Xie, Xing},\n  journal={arXiv preprint arXiv:2210.08813},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Graph Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "gtrans_graph_tta",
    "full": "GTrans",
    "title": "Empowering Graph Representation Learning with Test-Time Graph Transformation",
    "authors": "Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah",
    "venue": "ICLR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2210.03561",
    "pdf": "https://arxiv.org/pdf/2210.03561",
    "code": "https://github.com/ChandlerBang/GTrans",
    "bibtex": "@inproceedings{jin2023empowering,\n  title={Empowering Graph Representation Learning with Test-Time Graph Transformation},\n  author={Jin, Wei and Zhao, Tong and Ding, Jiayuan and Liu, Yozen and Tang, Jiliang and Shah, Neil},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph",
      "Gradient-free"
    ]
  },
  {
    "slug": "gtta",
    "full": "GTTA",
    "title": "Introducing Intermediate Domains for Effective Self-Training during Test-Time",
    "authors": "Robert A. Marsden, Mario Döbler, Bin Yang",
    "venue": "IJCNN 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2208.07736",
    "pdf": "https://arxiv.org/pdf/2208.07736",
    "code": "https://github.com/mariodoebler/test-time-adaptation",
    "bibtex": "@inproceedings{marsden2024gtta,\n  title={Introducing Intermediate Domains for Effective Self-Training during Test-Time},\n  author={Marsden, Robert A. and D{\\\"o}bler, Mario and Yang, Bin},\n  booktitle={International Joint Conference on Neural Networks (IJCNN)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "hamlet_seg",
    "full": "HAMLET",
    "title": "To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation",
    "authors": "Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi",
    "venue": "ICCV 2023",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2307.15063",
    "pdf": "https://arxiv.org/pdf/2307.15063",
    "code": "https://github.com/MarcBotet/hamlet",
    "bibtex": "@inproceedings{colomer2023adapt,\n  title={To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation},\n  author={Colomer, Marc Botet and Dovesi, Pier Luigi and Panagiotakopoulos, Theodoros and Carvalho, Joao Frederico and H{\\\"a}renstam-Nielsen, Linus and Azizpour, Hossein and Kjellstr{\\\"o}m, Hedvig and Cremers, Daniel and Poggi, Matteo},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "hiltta",
    "full": "HILTTA",
    "title": "Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection",
    "authors": "Yushu Li, Yongyi Su, Xulei Yang, Kui Jia, Xun Xu",
    "venue": "TMLR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2405.18911",
    "pdf": "https://arxiv.org/pdf/2405.18911",
    "code": null,
    "bibtex": "@article{li2024hiltta,\n  title={Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection},\n  author={Li, Yushu and Su, Yongyi and Yang, Xulei and Jia, Kui and Xu, Xun},\n  journal={Transactions on Machine Learning Research (TMLR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "histpt",
    "full": "HisTPT",
    "title": "Historical Test-time Prompt Tuning for Vision Foundation Models",
    "authors": "Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2410.20346",
    "pdf": "https://arxiv.org/pdf/2410.20346",
    "code": null,
    "bibtex": "@inproceedings{zhang2024historical,\n  title={Historical Test-time Prompt Tuning for Vision Foundation Models},\n  author={Zhang, Jingyi and Huang, Jiaxing and Zhang, Xiaoqin and Shao, Ling and Lu, Shijian},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "homottt",
    "full": "HomoTTT",
    "title": "A Fully Test-Time Training Framework for Semi-Supervised Node Classification on Out-of-Distribution Graphs",
    "authors": "Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu",
    "venue": "ACM TKDD 2024",
    "task": "Classification",
    "url": "https://dl.acm.org/doi/10.1145/3649507",
    "pdf": null,
    "code": null,
    "bibtex": "@article{zhang2024homottt,\n  title={A Fully Test-Time Training Framework for Semi-Supervised Node Classification on Out-of-Distribution Graphs},\n  author={Zhang, Jiaxin and Wang, Yiqi and Yang, Xihong and Zhu, En},\n  journal={ACM Transactions on Knowledge Discovery from Data (TKDD)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "interp_guided_adv_tta",
    "full": "IG-Defense",
    "title": "Interpretability-Guided Test-Time Adversarial Defense",
    "authors": "Akshay Kulkarni, Tsui-Wei Weng",
    "venue": "ECCV 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2409.15190",
    "pdf": "https://arxiv.org/pdf/2409.15190",
    "code": null,
    "bibtex": "@inproceedings{kulkarni2024interpretability,\n  title={Interpretability-Guided Test-Time Adversarial Defense},\n  author={Kulkarni, Akshay and Weng, Tsui-Wei},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Adversarial"
    ]
  },
  {
    "slug": "monodepth_instance_tta",
    "full": "Instance-Adapt Depth",
    "title": "Monocular Depth Estimation with Self-supervised Instance Adaptation",
    "authors": "Robert McCraith, Lukas Neumann, Andrew Zisserman, Andrea Vedaldi",
    "venue": "arXiv 2020",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2004.05821",
    "pdf": "https://arxiv.org/pdf/2004.05821",
    "code": null,
    "bibtex": "@article{mccraith2020monocular,\n  title={Monocular Depth Estimation with Self-supervised Instance Adaptation},\n  author={McCraith, Robert and Neumann, Lukas and Zisserman, Andrew and Vedaldi, Andrea},\n  journal={arXiv preprint arXiv:2004.05821},\n  year={2020}\n}",
    "presentation": null,
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Single-image"
    ]
  },
  {
    "slug": "lame",
    "full": "LAME",
    "title": "Parameter-free Online Test-time Adaptation",
    "authors": "Malik Boudiaf, Romain Mueller, Ismail Ben Ayed, Luca Bertinetto",
    "venue": "CVPR 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2201.05718",
    "pdf": "https://arxiv.org/pdf/2201.05718",
    "code": "https://github.com/fiveai/LAME",
    "bibtex": "@inproceedings{boudiaf2022parameter,\n  title={Parameter-free Online Test-time Adaptation},\n  author={Boudiaf, Malik and Mueller, Romain and Ben Ayed, Ismail and Bertinetto, Luca},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2022}\n}",
    "presentation": "Oral",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Gradient-free",
      "Label-Shift"
    ]
  },
  {
    "slug": "latte_mmtta",
    "full": "Latte",
    "title": "Interactive Test-Time Adaptation with Reliable Spatial-Temporal Voxels for Multi-Modal Segmentation",
    "authors": "Haozhi Cao, Yuecong Xu, Pengyu Yin, Xingyu Ji, Shenghai Yuan, Jianfei Yang, Lihua Xie",
    "venue": "ECCV 2024",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2403.06461",
    "pdf": "https://arxiv.org/pdf/2403.06461",
    "code": "https://github.com/AronCao49/Latte",
    "bibtex": "@inproceedings{cao2024latte,\n  title={Interactive Test-Time Adaptation with Reliable Spatial-Temporal Voxels for Multi-Modal Segmentation},\n  author={Cao, Haozhi and Xu, Yuecong and Yin, Pengyu and Ji, Xingyu and Yuan, Shenghai and Yang, Jianfei and Xie, Lihua},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Multimodal",
      "Continual"
    ]
  },
  {
    "slug": "llmttt",
    "full": "LLMTTT",
    "title": "Test-Time Training on Graphs with Large Language Models (LLMs)",
    "authors": "Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu",
    "venue": "ACM MM 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2404.13571",
    "pdf": "https://arxiv.org/pdf/2404.13571",
    "code": null,
    "bibtex": "@inproceedings{zhang2024llmttt,\n  title={Test-Time Training on Graphs with Large Language Models (LLMs)},\n  author={Zhang, Jiaxin and Wang, Yiqi and Yang, Xihong and Wang, Siwei and Feng, Yu and Shi, Yu and Ren, Ruichao and Zhu, En and Liu, Xinwang},\n  booktitle={Proceedings of the ACM International Conference on Multimedia (MM)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "test_time_local_training_tabular",
    "full": "Local-Train Tabular",
    "title": "Test-time local training of neural network for tabular data",
    "authors": "Myeonginn Kang, Seokho Kang",
    "venue": "Sci. Rep. 2025",
    "task": "Classification",
    "url": "https://www.nature.com/articles/s41598-025-31491-3",
    "pdf": null,
    "code": null,
    "bibtex": "@article{kang2025testtime,\n  title={Test-time local training of neural network for tabular data},\n  author={Kang, Myeonginn and Kang, Seokho},\n  journal={Scientific Reports},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Tabular Classification",
    "tags": [
      "Tabular"
    ]
  },
  {
    "slug": "lost_opportunity_vlm",
    "full": "Lost Opportunity (VLM-TTA)",
    "title": "A Comparative Study of Online Test-Time Adaptation for Vision-Language Models",
    "authors": "Mario Döbler, Robert A. Marsden, Tobias Raichle, Bin Yang",
    "venue": "ECCV 2024 Workshops",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2405.14977",
    "pdf": "https://arxiv.org/pdf/2405.14977",
    "code": "https://github.com/mariodoebler/test-time-adaptation",
    "bibtex": "@inproceedings{doebler2024lostopportunity,\n  title={A Comparative Study of Online Test-Time Adaptation for Vision-Language Models},\n  author={D{\\\"o}bler, Mario and Marsden, Robert A. and Raichle, Tobias and Yang, Bin},\n  booktitle={European Conference on Computer Vision (ECCV) Workshops},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Vision-Language",
      "Online"
    ]
  },
  {
    "slug": "lscd_tta",
    "full": "LSCD-TTA",
    "title": "Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification",
    "authors": "Yu Liang, Shilei Cao, Xiucheng Zhang, Juepeng Zheng, Jianxi Huang, Haohuan Fu",
    "venue": "JAG 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2408.16265",
    "pdf": "https://arxiv.org/pdf/2408.16265",
    "code": null,
    "bibtex": "@article{liang2025lscdtta,\n  title={Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification},\n  author={Liang, Yu and Cao, Shilei and Zhang, Xiucheng and Zheng, Juepeng and Huang, Jianxi and Fu, Haohuan},\n  journal={International Journal of Applied Earth Observation and Geoinformation},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Remote Sensing",
    "tags": [
      "Remote-Sensing",
      "Online"
    ]
  },
  {
    "slug": "m2n2_ad_tta",
    "full": "M2N2",
    "title": "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection",
    "authors": "Dongmin Kim, Sunghyun Park, Jaegul Choo",
    "venue": "AAAI 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2312.11976",
    "pdf": "https://arxiv.org/pdf/2312.11976",
    "code": "https://github.com/carrtesy/M2N2",
    "bibtex": "@inproceedings{kim2024m2n2,\n  title={When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection},\n  author={Kim, Dongmin and Park, Sunghyun and Choo, Jaegul},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Time-Series Classification",
    "tags": [
      "Time-Series",
      "Online"
    ]
  },
  {
    "slug": "matcha",
    "full": "Matcha",
    "title": "Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation",
    "authors": "Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2410.06976",
    "pdf": "https://arxiv.org/pdf/2410.06976",
    "code": "https://github.com/baowenxuan/Matcha",
    "bibtex": "@inproceedings{bao2025matcha,\n  title={Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation},\n  author={Bao, Wenxuan and Zeng, Zhichen and Liu, Zhining and Tong, Hanghang and He, Jingrui},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "mate_3d_ttt",
    "full": "MATE",
    "title": "MATE: Masked Autoencoders are Online 3D Test-Time Learners",
    "authors": "M. Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof",
    "venue": "ICCV 2023",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Mirza_MATE_Masked_Autoencoders_are_Online_3D_Test-Time_Learners_ICCV_2023_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2023/papers/Mirza_MATE_Masked_Autoencoders_are_Online_3D_Test-Time_Learners_ICCV_2023_paper.pdf",
    "code": "https://github.com/jmiemirza/MATE",
    "bibtex": "@inproceedings{mirza2023mate,\n  title={MATE: Masked Autoencoders are Online 3D Test-Time Learners},\n  author={Mirza, M. Jehanzeb and Shin, Inkyu and Lin, Wei and Schriebl, Andreas and Sun, Kunyang and Choe, Jaesung and Kozinski, Mateusz and Possegger, Horst and Kweon, In So and Yoon, Kuk-Jin and Bischof, Horst},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Online"
    ]
  },
  {
    "slug": "matt_ctr",
    "full": "MATT-CTR",
    "title": "MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths",
    "authors": "Moyu Zhang, Yun Chen, Yujun Jin, Jinxin Hu, Yu Zhang, Xiaoyi Zeng",
    "venue": "arXiv 2025",
    "task": "Decision-Making",
    "url": "https://arxiv.org/abs/2510.08932",
    "pdf": "https://arxiv.org/pdf/2510.08932",
    "code": null,
    "bibtex": "@article{zhang2025mattctr,\n  title={MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths},\n  author={Zhang, Moyu and Chen, Yun and Jin, Yujun and Hu, Jinxin and Zhang, Yu and Zeng, Xiaoyi},\n  journal={arXiv preprint arXiv:2510.08932},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Recommendation",
    "tags": [
      "Recommendation",
      "Gradient-free"
    ]
  },
  {
    "slug": "mecta",
    "full": "MECTA",
    "title": "MECTA: Memory-Economic Continual Test-Time Model Adaptation",
    "authors": "Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger",
    "venue": "ICLR 2023",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=N92hjSf5NNh",
    "pdf": "https://openreview.net/pdf?id=N92hjSf5NNh",
    "code": "https://github.com/SonyResearch/MECTA",
    "bibtex": "@inproceedings{hong2023mecta,\n  title={MECTA: Memory-Economic Continual Test-Time Model Adaptation},\n  author={Hong, Junyuan and Lyu, Lingjuan and Zhou, Jiayu and Spranger, Michael},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "memclr_det",
    "full": "MemCLR",
    "title": "Towards Online Domain Adaptive Object Detection",
    "authors": "Vibashan VS, Poojan Oza, Vishal M. Patel",
    "venue": "WACV 2023",
    "task": "Detection",
    "url": "https://arxiv.org/abs/2204.05289",
    "pdf": "https://arxiv.org/pdf/2204.05289",
    "code": "https://github.com/Vibashan/memXformer-online-da",
    "bibtex": "@inproceedings{vs2023towards,\n  title={Towards Online Domain Adaptive Object Detection},\n  author={VS, Vibashan and Oza, Poojan and Patel, Vishal M.},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Object Detection",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "memo",
    "full": "MEMO",
    "title": "MEMO: Test Time Robustness via Adaptation and Augmentation",
    "authors": "Marvin Zhang, Sergey Levine, Chelsea Finn",
    "venue": "NeurIPS 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2110.09506",
    "pdf": "https://arxiv.org/pdf/2110.09506",
    "code": "https://github.com/zhangmarvin/memo",
    "bibtex": "@inproceedings{zhang2022memo,\n  title={MEMO: Test Time Robustness via Adaptation and Augmentation},\n  author={Zhang, Marvin and Levine, Sergey and Finn, Chelsea},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ]
  },
  {
    "slug": "metawriter",
    "full": "MetaWriter",
    "title": "MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning",
    "authors": "Wenhao Gu, Li Gu, Ching Yee Suen, Yang Wang",
    "venue": "CVPR 2025",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2505.20513",
    "pdf": "https://arxiv.org/pdf/2505.20513",
    "code": null,
    "bibtex": "@inproceedings{gu2025metawriter,\n  title={MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning},\n  author={Gu, Wenhao and Gu, Li and Suen, Ching Yee and Wang, Yang},\n  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Text Recognition (OCR)",
    "tags": [
      "Text/Document",
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "mmtta_3d",
    "full": "MM-TTA",
    "title": "MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation",
    "authors": "Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon",
    "venue": "CVPR 2022",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2204.12667",
    "pdf": "https://arxiv.org/pdf/2204.12667",
    "code": null,
    "bibtex": "@inproceedings{shin2022mmtta,\n  title={MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation},\n  author={Shin, Inkyu and Tsai, Yi-Hsuan and Zhuang, Bingbing and Schulter, Samuel and Liu, Buyu and Garg, Sparsh and Kweon, In So and Yoon, Kuk-Jin},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Multimodal"
    ]
  },
  {
    "slug": "monotta_lin",
    "full": "MonoTTA",
    "title": "Fully Test-Time Adaptation for Monocular 3D Object Detection",
    "authors": "Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li",
    "venue": "ECCV 2024",
    "task": "Detection",
    "url": "https://arxiv.org/abs/2405.19682",
    "pdf": "https://arxiv.org/pdf/2405.19682",
    "code": "https://github.com/Hongbin98/MonoTTA",
    "bibtex": "@inproceedings{lin2024monotta,\n  title={Fully Test-Time Adaptation for Monocular 3D Object Detection},\n  author={Lin, Hongbin and Zhang, Yifan and Niu, Shuaicheng and Cui, Shuguang and Li, Zhen},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Object Detection",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Online"
    ]
  },
  {
    "slug": "mos_3ddet",
    "full": "MOS",
    "title": "MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection",
    "authors": "Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, Zi Huang, Yadan Luo",
    "venue": "ICLR 2025",
    "task": "Detection",
    "url": "https://arxiv.org/abs/2406.14878",
    "pdf": "https://arxiv.org/pdf/2406.14878",
    "code": null,
    "bibtex": "@inproceedings{chen2025mos,\n  title={MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection},\n  author={Chen, Zhuoxiao and Meng, Junjie and Baktashmotlagh, Mahsa and Zhang, Yonggang and Huang, Zi and Luo, Yadan},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Object Detection",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Online"
    ]
  },
  {
    "slug": "motiondisc_pose3d",
    "full": "MotionDisc-3DPose",
    "title": "Robust Long-term Test-Time Adaptation for 3D Human Pose Estimation through Motion Discretization",
    "authors": "Yilin Wen, Kechuan Dong, Yusuke Sugano",
    "venue": "AAAI 2026",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2511.18851",
    "pdf": "https://arxiv.org/pdf/2511.18851",
    "code": null,
    "bibtex": "@inproceedings{wen2026robust,\n  title={Robust Long-term Test-Time Adaptation for 3D Human Pose Estimation through Motion Discretization},\n  author={Wen, Yilin and Dong, Kechuan and Sugano, Yusuke},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2026}\n}",
    "presentation": null,
    "task_fine": "Image Regression",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "mt3",
    "full": "MT3",
    "title": "MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption",
    "authors": "Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang",
    "venue": "AISTATS 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2103.16201",
    "pdf": "https://arxiv.org/pdf/2103.16201",
    "code": "https://github.com/alexanderbartler/MT3",
    "bibtex": "@inproceedings{bartler2022mt3,\n  title={MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption},\n  author={Bartler, Alexander and B{\\\"u}hler, Andre and Wiewel, Felix and D{\\\"o}bler, Mario and Yang, Bin},\n  booktitle={Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "mta",
    "full": "MTA",
    "title": "On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do We Really Need Prompt Learning?",
    "authors": "Maxime Zanella, Ismail Ben Ayed",
    "venue": "CVPR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2405.02266",
    "pdf": "https://arxiv.org/pdf/2405.02266",
    "code": "https://github.com/MaxZanella/MTA",
    "bibtex": "@inproceedings{zanella2024mta,\n  title={On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do We Really Need Prompt Learning?},\n  author={Zanella, Maxime and Ben Ayed, Ismail},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Gradient-free"
    ]
  },
  {
    "slug": "eeg_fm_tta_bench",
    "full": "NeuroAdapt-Bench",
    "title": "Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts",
    "authors": "Gabriel Jason Lee, Jathurshan Pradeepkumar, Jimeng Sun",
    "venue": "arXiv 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2604.16926",
    "pdf": "https://arxiv.org/pdf/2604.16926",
    "code": null,
    "bibtex": "@article{lee2026eegtta,\n  title={Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts},\n  author={Lee, Gabriel Jason and Pradeepkumar, Jathurshan and Sun, Jimeng},\n  journal={arXiv preprint arXiv:2604.16926},\n  year={2026}\n}",
    "presentation": null,
    "task_fine": "Time-Series Classification",
    "tags": [
      "EEG/Bio-signal",
      "Time-Series"
    ]
  },
  {
    "slug": "nhl",
    "full": "NHL",
    "title": "Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation",
    "authors": "Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2303.00914",
    "pdf": "https://arxiv.org/pdf/2303.00914",
    "code": null,
    "bibtex": "@inproceedings{tang2023nhl,\n  title={Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation},\n  author={Tang, Yushun and Zhang, Ce and Xu, Heng and Chen, Shuoshuo and Cheng, Jie and Leng, Luziwei and Guo, Qinghai and He, Zhihai},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "note",
    "full": "NOTE",
    "title": "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation",
    "authors": "Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee",
    "venue": "NeurIPS 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2208.05117",
    "pdf": "https://arxiv.org/pdf/2208.05117",
    "code": "https://github.com/TaesikGong/NOTE",
    "bibtex": "@inproceedings{gong2022note,\n  title={NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation},\n  author={Gong, Taesik and Jeong, Jongheon and Kim, Taewon and Kim, Yewon and Shin, Jinwoo and Lee, Sung-Ju},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Mixed/Non-i.i.d.",
      "Continual"
    ]
  },
  {
    "slug": "oasis_seg",
    "full": "OASIS",
    "title": "On the Road to Online Adaptation for Semantic Image Segmentation",
    "authors": "Riccardo Volpi, Pau De Jorge, Diane Larlus, Gabriela Csurka",
    "venue": "CVPR 2022",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2203.16195",
    "pdf": "https://arxiv.org/pdf/2203.16195",
    "code": "https://github.com/naver/oasis",
    "bibtex": "@inproceedings{volpi2022road,\n  title={On the Road to Online Adaptation for Semantic Image Segmentation},\n  author={Volpi, Riccardo and De Jorge, Pau and Larlus, Diane and Csurka, Gabriela},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "obao",
    "full": "OBAO",
    "title": "Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation",
    "authors": "Zhilin Zhu, Xiaopeng Hong, Zhiheng Ma, Weijun Zhuang, Yaohui Ma, Yong Dai, Yaowei Wang",
    "venue": "ECCV 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2407.09367",
    "pdf": "https://arxiv.org/pdf/2407.09367",
    "code": "https://github.com/z1358/OBAO",
    "bibtex": "@inproceedings{zhu2024reshaping,\n  title={Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation},\n  author={Zhu, Zhilin and Hong, Xiaopeng and Ma, Zhiheng and Zhuang, Weijun and Ma, Yaohui and Dai, Yong and Wang, Yaowei},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "ocl_seg",
    "full": "OCL",
    "title": "Test-Time Training for Semantic Segmentation with Output Contrastive Loss",
    "authors": "Yunlong Zhang, Yuxuan Sun, Sunyi Zheng, Zhongyi Shui, Chenglu Zhu, Lin Yang",
    "venue": "ICLR 2024",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2311.07877",
    "pdf": "https://arxiv.org/pdf/2311.07877",
    "code": "https://github.com/dazhangyu123/OCL",
    "bibtex": "@inproceedings{zhang2024testtime,\n  title={Test-Time Training for Semantic Segmentation with Output Contrastive Loss},\n  author={Zhang, Yunlong and Sun, Yuxuan and Zheng, Sunyi and Shui, Zhongyi and Zhu, Chenglu and Yang, Lin},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "ods",
    "full": "ODS",
    "title": "ODS: Test-Time Adaptation in the Presence of Open-World Data Shift",
    "authors": "Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Ding-Chu Zhang, Yu-Feng Li",
    "venue": "ICML 2023",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v202/zhou23e.html",
    "pdf": "https://proceedings.mlr.press/v202/zhou23e/zhou23e.pdf",
    "code": "https://www.lamda.nju.edu.cn/code_ODS.ashx",
    "bibtex": "@inproceedings{zhou2023ods,\n  title={{ODS}: Test-Time Adaptation in the Presence of Open-World Data Shift},\n  author={Zhou, Zhi and Guo, Lan-Zhe and Jia, Lin-Han and Zhang, Ding-Chu and Li, Yu-Feng},\n  booktitle={Proceedings of the 40th International Conference on Machine Learning (ICML)},\n  pages={42574--42588},\n  volume={202},\n  series={Proceedings of Machine Learning Research},\n  publisher={PMLR},\n  year={2023}\n}",
    "presentation": "Oral",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Open-set"
    ]
  },
  {
    "slug": "oftta_har_tta",
    "full": "OFTTA",
    "title": "Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition",
    "authors": "Shuoyuan Wang, Jindong Wang, Huajun Xi, Bob Zhang, Lei Zhang, Hongxin Wei",
    "venue": "IMWUT 2024",
    "task": "Classification",
    "url": "https://dl.acm.org/doi/10.1145/3631450",
    "pdf": "https://arxiv.org/pdf/2310.18562",
    "code": "https://github.com/Claydon-Wang/OFTTA",
    "bibtex": "@article{wang2024optimization,\n  title={Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition},\n  author={Wang, Shuoyuan and Wang, Jindong and Xi, Huajun and Zhang, Bob and Zhang, Lei and Wei, Hongxin},\n  journal={Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)},\n  volume={7},\n  number={4},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Activity Recognition",
    "tags": [
      "Video",
      "Gradient-free"
    ]
  },
  {
    "slug": "online_ttt",
    "full": "Online TTT",
    "title": "Test-Time Training on Video Streams",
    "authors": "Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang",
    "venue": "JMLR 2025",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2307.05014",
    "pdf": "https://arxiv.org/pdf/2307.05014",
    "code": null,
    "bibtex": "@article{wang2023onlinettt,\n  title={Test-Time Training on Video Streams},\n  author={Wang, Renhao and Sun, Yu and Gandelsman, Yossi and Chen, Xinlei and Efros, Alexei A. and Wang, Xiaolong},\n  journal={arXiv preprint arXiv:2307.05014},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Video",
      "Online"
    ]
  },
  {
    "slug": "tta_optflow",
    "full": "OptFlow-TTA",
    "title": "Test-Time Adaptation for Optical Flow Estimation Using Motion Vectors",
    "authors": "Seyed Mehdi Ayyoubzadeh, Wentao Liu, Irina Kezele, Yuanhao Yu, Xiaolin Wu, Yang Wang, Tang Jin",
    "venue": "IEEE TIP 2023",
    "task": "Regression",
    "url": "https://ieeexplore.ieee.org/document/10236979/",
    "pdf": null,
    "code": null,
    "bibtex": "@article{ayyoubzadeh2023ttaopticalflow,\n  title={Test-Time Adaptation for Optical Flow Estimation Using Motion Vectors},\n  author={Ayyoubzadeh, Seyed Mehdi and Liu, Wentao and Kezele, Irina and Yu, Yuanhao and Wu, Xiaolin and Wang, Yang and Jin, Tang},\n  journal={IEEE Transactions on Image Processing},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "tta_openset_jos",
    "full": "OTA",
    "title": "Towards Robust Test-time Adaptation Method for Open-set Recognition",
    "authors": "Zhi Zhou, Ding-Chu Zhang, Yu-Feng Li, Min-Ling Zhang",
    "venue": "JOS 2024",
    "task": "Classification",
    "url": "https://www.jos.org.cn/jos/article/abstract/7009",
    "pdf": "https://www.sciengine.com/doi/pdf/80FACF06B3904CA6AD1CC204838944EE",
    "code": null,
    "bibtex": "@article{zhou2024openset,\n  title={Towards Robust Test-time Adaptation Method for Open-set Recognition},\n  author={Zhou, Zhi and Zhang, Ding-Chu and Li, Yu-Feng and Zhang, Min-Ling},\n  journal={Journal of Software},\n  volume={35},\n  number={4},\n  pages={1667--1681},\n  year={2024},\n  doi={10.13328/j.cnki.jos.007009}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Open-set"
    ]
  },
  {
    "slug": "otta_survey",
    "full": "OTTA Survey",
    "title": "In Search of Lost Online Test-time Adaptation: A Survey",
    "authors": "Zixin Wang, Yadan Luo, Liang Zheng, Zhuoxiao Chen, Sen Wang, Zi Huang",
    "venue": "IJCV 2025",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2310.20199",
    "pdf": "https://arxiv.org/pdf/2310.20199",
    "code": "https://github.com/Jo-wang/OTTA_ViT_survey",
    "bibtex": "@article{wang2025ottasurvey,\n  title={In Search of Lost Online Test-time Adaptation: A Survey},\n  author={Wang, Zixin and Luo, Yadan and Zheng, Liang and Chen, Zhuoxiao and Wang, Sen and Huang, Zi},\n  journal={International Journal of Computer Vision (IJCV)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "owttt",
    "full": "OWTTT",
    "title": "On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion",
    "authors": "Yushu Li, Xun Xu, Yongyi Su, Kui Jia",
    "venue": "ICCV 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2308.09942",
    "pdf": "https://arxiv.org/pdf/2308.09942",
    "code": "https://github.com/Yushu-Li/OWTTT",
    "bibtex": "@inproceedings{li2023owttt,\n  title={On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion},\n  author={Li, Yushu and Xu, Xun and Su, Yongyi and Jia, Kui},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": "Oral",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Open-set"
    ]
  },
  {
    "slug": "pc_upsampling_meta_tta",
    "full": "PC-Upsample TTA",
    "title": "Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning",
    "authors": "Ahmed Hatem, Yiming Qian, Yang Wang",
    "venue": "IROS 2023",
    "task": "Restoration",
    "url": "https://arxiv.org/abs/2308.16484",
    "pdf": "https://arxiv.org/pdf/2308.16484",
    "code": null,
    "bibtex": "@inproceedings{hatem2023ttaupsampling,\n  title={Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning},\n  author={Hatem, Ahmed and Qian, Yiming and Wang, Yang},\n  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Point Cloud Upsampling",
    "tags": [
      "3D/Point-Cloud",
      "Single-image"
    ]
  },
  {
    "slug": "pcl_nlp_tta",
    "full": "PCL",
    "title": "Test-Time Adaptation with Perturbation Consistency Learning",
    "authors": "Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang",
    "venue": "arXiv 2023",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2304.12764",
    "pdf": "https://arxiv.org/pdf/2304.12764",
    "code": null,
    "bibtex": "@article{su2023testtime,\n  title={Test-Time Adaptation with Perturbation Consistency Learning},\n  author={Su, Yi and Ji, Yixin and Li, Juntao and Ye, Hai and Zhang, Min},\n  journal={arXiv preprint arXiv:2304.12764},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Reasoning and QA",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "petal",
    "full": "PETAL",
    "title": "A Probabilistic Framework for Lifelong Test-Time Adaptation",
    "authors": "Dhanajit Brahma, Piyush Rai",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2212.09713",
    "pdf": "https://arxiv.org/pdf/2212.09713",
    "code": "https://github.com/dhanajitb/petal",
    "bibtex": "@inproceedings{brahma2023petal,\n  title={A Probabilistic Framework for Lifelong Test-Time Adaptation},\n  author={Brahma, Dhanajit and Rai, Piyush},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "petsa_tsf_tta",
    "full": "PETSA",
    "title": "Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting",
    "authors": "Heitor R. Medeiros, Hossein Sharifi-Noghabi, Gabriel L. Oliveira, Saghar Irandoust",
    "venue": "ICML 2025 Workshop",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2506.23424",
    "pdf": "https://arxiv.org/pdf/2506.23424",
    "code": "https://github.com/BorealisAI/PETSA",
    "bibtex": "@inproceedings{medeiros2025petsa,\n  title={Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting},\n  author={Medeiros, Heitor R. and Sharifi-Noghabi, Hossein and Oliveira, Gabriel L. and Irandoust, Saghar},\n  booktitle={ICML Workshop on Test-Time Adaptation},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Time-Series Forecasting",
    "tags": [
      "Time-Series",
      "Online"
    ]
  },
  {
    "slug": "petta",
    "full": "PeTTA",
    "title": "Persistent Test-time Adaptation in Recurring Testing Scenarios",
    "authors": "Trung-Hieu Hoang, Duc Minh Vo, Minh N. Do",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2311.18193",
    "pdf": "https://arxiv.org/pdf/2311.18193",
    "code": "https://github.com/hthieu166/petta",
    "bibtex": "@inproceedings{hoang2024petta,\n  title={Persistent Test-time Adaptation in Recurring Testing Scenarios},\n  author={Hoang, Trung-Hieu and Vo, Duc Minh and Do, Minh N.},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "pft3a",
    "full": "PFT3A",
    "title": "Prior-free Tabular Test-time Adaptation",
    "authors": "Rundong He, Jieming Shi",
    "venue": "ICLR 2026",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=BgSDPE24pa",
    "pdf": "https://openreview.net/pdf?id=BgSDPE24pa",
    "code": "https://github.com/rundohe/PFT3A",
    "bibtex": "@inproceedings{he2026priorfree,\n  title={Prior-free Tabular Test-time Adaptation},\n  author={He, Rundong and Shi, Jieming},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2026}\n}",
    "presentation": null,
    "task_fine": "Tabular Classification",
    "tags": [
      "Tabular"
    ]
  },
  {
    "slug": "predbn",
    "full": "PredBN",
    "title": "Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift",
    "authors": "Zachary Nado, Shreyas Padhy, D. Sculley, Alexander D'Amour, Balaji Lakshminarayanan, Jasper Snoek",
    "venue": "arXiv 2020",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2006.10963",
    "pdf": "https://arxiv.org/pdf/2006.10963",
    "code": null,
    "bibtex": "@article{nado2020predbn,\n  title={Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift},\n  author={Nado, Zachary and Padhy, Shreyas and Sculley, D. and D'Amour, Alexander and Lakshminarayanan, Balaji and Snoek, Jasper},\n  journal={arXiv preprint arXiv:2006.10963},\n  year={2020}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Gradient-free"
    ]
  },
  {
    "slug": "promptalign",
    "full": "PromptAlign",
    "title": "Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization",
    "authors": "Jameel Hassan, Hanan Gani, Noor Hussein, Muhammad Uzair Khattak, Muzammal Naseer, Fahad Shahbaz Khan, Salman Khan",
    "venue": "NeurIPS 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2311.01459",
    "pdf": "https://arxiv.org/pdf/2311.01459",
    "code": "https://github.com/jameelhassan/PromptAlign",
    "bibtex": "@inproceedings{hassan2023promptalign,\n  title={Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization},\n  author={Hassan, Jameel and Gani, Hanan and Hussein, Noor and Khattak, Muhammad Uzair and Naseer, Muzammal and Khan, Fahad Shahbaz and Khan, Salman},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "rtpt_vlm",
    "full": "R-TPT",
    "title": "R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning",
    "authors": "Lijun Sheng, Jian Liang, Zilei Wang, Ran He",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2504.11195",
    "pdf": "https://arxiv.org/pdf/2504.11195",
    "code": "https://github.com/TomSheng21/R-TPT",
    "bibtex": "@inproceedings{sheng2025rtpt,\n  title={R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning},\n  author={Sheng, Lijun and Liang, Jian and Wang, Zilei and He, Ran},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Adversarial"
    ]
  },
  {
    "slug": "rdumb",
    "full": "RDumb",
    "title": "RDumb: A Simple Approach that Questions Our Progress in Continual Test-Time Adaptation",
    "authors": "Ori Press, Steffen Schneider, Matthias Kümmerer, Matthias Bethge",
    "venue": "NeurIPS 2023",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2306.05401",
    "pdf": "https://arxiv.org/pdf/2306.05401",
    "code": "https://github.com/oripress/CCC",
    "bibtex": "@inproceedings{press2023rdumb,\n  title={RDumb: A Simple Approach that Questions Our Progress in Continual Test-Time Adaptation},\n  author={Press, Ori and Schneider, Steffen and K{\\\"u}mmerer, Matthias and Bethge, Matthias},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "reservoirtta",
    "full": "ReservoirTTA",
    "title": "ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains",
    "authors": "Guillaume Vray, Devavrat Tomar, Xufeng Gao, Jean-Philippe Thiran, Evan Shelhamer, Behzad Bozorgtabar",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2505.14511",
    "pdf": "https://arxiv.org/pdf/2505.14511",
    "code": null,
    "bibtex": "@article{vray2025reservoirtta,\n  title={ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains},\n  author={Vray, Guillaume and Tomar, Devavrat and Gao, Xufeng and Thiran, Jean-Philippe and Shelhamer, Evan and Bozorgtabar, Behzad},\n  journal={arXiv preprint arXiv:2505.14511},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "rmt",
    "full": "RMT",
    "title": "Robust Mean Teacher for Continual and Gradual Test-Time Adaptation",
    "authors": "Mario Döbler, Robert A. Marsden, Bin Yang",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2211.13081",
    "pdf": "https://arxiv.org/pdf/2211.13081",
    "code": "https://github.com/mariodoebler/test-time-adaptation",
    "bibtex": "@inproceedings{dobler2023robust,\n  title={Robust Mean Teacher for Continual and Gradual Test-Time Adaptation},\n  author={D{\\\"o}bler, Mario and Marsden, Robert A. and Yang, Bin},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "robia",
    "full": "RobIA",
    "title": "RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo",
    "authors": "Jueun Ko, Hyewon Park, Hyesong Choi, Dongbo Min",
    "venue": "NeurIPS 2025",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2511.10107",
    "pdf": "https://arxiv.org/pdf/2511.10107",
    "code": null,
    "bibtex": "@inproceedings{ko2025robia,\n  title={RobIA: Robust Instance-aware Continual Test-time Adaptation for Deep Stereo},\n  author={Ko, Jueun and Park, Hyewon and Choi, Hyesong and Min, Dongbo},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "roid",
    "full": "RoID",
    "title": "Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction",
    "authors": "Robert A. Marsden, Mario Döbler, Bin Yang",
    "venue": "WACV 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2306.00650",
    "pdf": "https://arxiv.org/pdf/2306.00650",
    "code": "https://github.com/mariodoebler/test-time-adaptation",
    "bibtex": "@inproceedings{marsden2024roid,\n  title={Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction},\n  author={Marsden, Robert A. and D{\\\"o}bler, Mario and Yang, Bin},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "rotta",
    "full": "RoTTA",
    "title": "Robust Test-Time Adaptation in Dynamic Scenarios",
    "authors": "Longhui Yuan, Binhui Xie, Shuang Li",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2303.13899",
    "pdf": "https://arxiv.org/pdf/2303.13899",
    "code": "https://github.com/BIT-DA/RoTTA",
    "bibtex": "@inproceedings{yuan2023robust,\n  title={Robust Test-Time Adaptation in Dynamic Scenarios},\n  author={Yuan, Longhui and Xie, Binhui and Li, Shuang},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "semaware_pose3d",
    "full": "SA-3DPose",
    "title": "Semantics-aware Test-time Adaptation for 3D Human Pose Estimation",
    "authors": "Qiuxia Lin, Rongyu Chen, Kerui Gu, Angela Yao",
    "venue": "ICML 2025",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2502.10724",
    "pdf": "https://arxiv.org/pdf/2502.10724",
    "code": null,
    "bibtex": "@article{lin2025semantics,\n  title={Semantics-aware Test-time Adaptation for 3D Human Pose Estimation},\n  author={Lin, Qiuxia and Chen, Rongyu and Gu, Kerui and Yao, Angela},\n  journal={arXiv preprint arXiv:2502.10724},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Regression",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Online"
    ]
  },
  {
    "slug": "santa",
    "full": "SANTA",
    "title": "SANTA: Source Anchoring Network and Target Alignment for Continual Test Time Adaptation",
    "authors": "Goirik Chakrabarty, Manogna Sreenivas, Soma Biswas",
    "venue": "TMLR 2023",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=V7guVYzvE4",
    "pdf": "https://openreview.net/pdf?id=V7guVYzvE4",
    "code": "https://github.com/goirik-chakrabarty/SANTA",
    "bibtex": "@article{chakrabarty2023santa,\n  title={SANTA: Source Anchoring Network and Target Alignment for Continual Test Time Adaptation},\n  author={Chakrabarty, Goirik and Sreenivas, Manogna and Biswas, Soma},\n  journal={Transactions on Machine Learning Research (TMLR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "sar",
    "full": "SAR",
    "title": "Towards Stable Test-Time Adaptation in Dynamic Wild World",
    "authors": "Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan",
    "venue": "ICLR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2302.12400",
    "pdf": "https://arxiv.org/pdf/2302.12400",
    "code": "https://github.com/mr-eggplant/SAR",
    "bibtex": "@inproceedings{niu2023towards,\n  title={Towards Stable Test-Time Adaptation in Dynamic Wild World},\n  author={Niu, Shuaicheng and Wu, Jiaxiang and Zhang, Yifan and Wen, Zhiquan and Chen, Yaofo and Zhao, Peilin and Tan, Mingkui},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2023}\n}",
    "presentation": "Oral",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Mixed/Non-i.i.d.",
      "Label-Shift"
    ]
  },
  {
    "slug": "sda_diffusion",
    "full": "SDA",
    "title": "Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment",
    "authors": "Jiayi Guo, Junhao Zhao, Chaoqun Du, Yulin Wang, Chunjiang Ge, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2406.04295",
    "pdf": "https://arxiv.org/pdf/2406.04295",
    "code": "https://github.com/SHI-Labs/Diffusion-Driven-Test-Time-Adaptation-via-Synthetic-Domain-Alignment",
    "bibtex": "@inproceedings{guo2025sda,\n  title={Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment},\n  author={Guo, Jiayi and Zhao, Junhao and Du, Chaoqun and Wang, Yulin and Ge, Chunjiang and Ni, Zanlin and Song, Shiji and Shi, Humphrey and Huang, Gao},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "seal",
    "full": "SEAL",
    "title": "Self-Adapting Language Models",
    "authors": "Adam Zweiger, Jyothish Pari, Han Guo, Ekin Akyürek, Yoon Kim, Pulkit Agrawal",
    "venue": "NeurIPS 2025",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2506.10943",
    "pdf": "https://arxiv.org/pdf/2506.10943",
    "code": "https://github.com/Continual-Intelligence/SEAL",
    "bibtex": "@article{zweiger2025seal,\n  title={Self-Adapting Language Models},\n  author={Zweiger, Adam and Pari, Jyothish and Guo, Han and Aky{\\\"u}rek, Ekin and Kim, Yoon and Agrawal, Pulkit},\n  journal={arXiv preprint arXiv:2506.10943},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Reasoning and QA",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "selfboot_niu",
    "full": "Self-Bootstrapping TTA",
    "title": "Self-Bootstrapping for Versatile Test-Time Adaptation",
    "authors": "Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2504.08010",
    "pdf": "https://arxiv.org/pdf/2504.08010",
    "code": null,
    "bibtex": "@inproceedings{niu2025selfbootstrapping,\n  title={Self-Bootstrapping for Versatile Test-Time Adaptation},\n  author={Niu, Shuaicheng and Chen, Guohao and Zhao, Peilin and Wang, Tianyi and Wu, Pengcheng and Shen, Zhiqi},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "sgem_asr_tta",
    "full": "SGEM",
    "title": "SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization",
    "authors": "Changhun Kim, Joonhyung Park, Hajin Shim, Eunho Yang",
    "venue": "Interspeech 2023",
    "task": "Sequence & Language",
    "url": "https://www.isca-archive.org/interspeech_2023/kim23f_interspeech.html",
    "pdf": "https://www.isca-archive.org/interspeech_2023/kim23f_interspeech.pdf",
    "code": "https://github.com/drumpt/SGEM",
    "bibtex": "@inproceedings{kim2023sgem,\n  title={SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization},\n  author={Kim, Changhun and Park, Joonhyung and Shim, Hajin and Yang, Eunho},\n  booktitle={Proc. Interspeech 2023},\n  year={2023}\n}",
    "presentation": "Oral",
    "task_fine": "Speech Recognition",
    "tags": [
      "Speech",
      "Online"
    ]
  },
  {
    "slug": "shot",
    "full": "SHOT",
    "title": "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation",
    "authors": "Jian Liang, Dapeng Hu, Jiashi Feng",
    "venue": "ICML 2020",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2002.08546",
    "pdf": "https://arxiv.org/pdf/2002.08546",
    "code": "https://github.com/tim-learn/SHOT",
    "bibtex": "@inproceedings{liang2020shot,\n  title={Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation},\n  author={Liang, Jian and Hu, Dapeng and Feng, Jiashi},\n  booktitle={Proceedings of the 37th International Conference on Machine Learning (ICML)},\n  year={2020}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "atta",
    "full": "SimATTA",
    "title": "Active Test-Time Adaptation: Theoretical Analyses and An Algorithm",
    "authors": "Shurui Gui, Xiner Li, Shuiwang Ji",
    "venue": "ICLR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2404.05094",
    "pdf": "https://arxiv.org/pdf/2404.05094",
    "code": "https://github.com/divelab/ATTA",
    "bibtex": "@inproceedings{gui2024atta,\n  title={Active Test-Time Adaptation: Theoretical Analyses and An Algorithm},\n  author={Gui, Shurui and Li, Xiner and Ji, Shuiwang},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "snap",
    "full": "SNAP",
    "title": "SNAP: Low-Latency Test-Time Adaptation with Sparse Updates",
    "authors": "Hyeongheon Cha, Dong Min Kim, Hye Won Chung, Taesik Gong, Sung-Ju Lee",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2511.15276",
    "pdf": "https://arxiv.org/pdf/2511.15276",
    "code": null,
    "bibtex": "@article{cha2025snap,\n  title={SNAP: Low-Latency Test-Time Adaptation with Sparse Updates},\n  author={Cha, Hyeongheon and Kim, Dong Min and Chung, Hye Won and Gong, Taesik and Lee, Sung-Ju},\n  journal={arXiv preprint arXiv:2511.15276},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "soga_graph_sfda",
    "full": "SOGA",
    "title": "Source Free Graph Unsupervised Domain Adaptation",
    "authors": "Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang",
    "venue": "WSDM 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2112.00955",
    "pdf": "https://arxiv.org/pdf/2112.00955",
    "code": "https://github.com/HaitaoMao/SOGA",
    "bibtex": "@inproceedings{mao2024source,\n  title={Source Free Graph Unsupervised Domain Adaptation},\n  author={Mao, Haitao and Du, Lun and Zheng, Yujia and Fu, Qiang and Li, Zelin and Chen, Xu and Han, Shi and Zhang, Dongmei},\n  booktitle={Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "sotta",
    "full": "SoTTA",
    "title": "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams",
    "authors": "Taesik Gong, Yewon Kim, Taeckyung Lee, Sorn Chottananurak, Sung-Ju Lee",
    "venue": "NeurIPS 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2310.10074",
    "pdf": "https://arxiv.org/pdf/2310.10074",
    "code": "https://github.com/taeckyung/SoTTA",
    "bibtex": "@inproceedings{gong2023sotta,\n  title={SoTTA: Robust Test-Time Adaptation on Noisy Data Streams},\n  author={Gong, Taesik and Kim, Yewon and Lee, Taeckyung and Chottananurak, Sorn and Lee, Sung-Ju},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "srtta",
    "full": "SRTTA",
    "title": "Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction",
    "authors": "Zeshuai Deng, Zhuokun Chen, Shuaicheng Niu, Thomas H. Li, Bohan Zhuang, Mingkui Tan",
    "venue": "NeurIPS 2023",
    "task": "Restoration",
    "url": "https://arxiv.org/abs/2310.19011",
    "pdf": "https://arxiv.org/pdf/2310.19011",
    "code": "https://github.com/DengZeshuai/SRTTA",
    "bibtex": "@inproceedings{deng2023srtta,\n  title={Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction},\n  author={Deng, Zeshuai and Chen, Zhuokun and Niu, Shuaicheng and Li, Thomas H. and Zhuang, Bohan and Tan, Mingkui},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Restoration",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "stamp",
    "full": "STAMP",
    "title": "STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay",
    "authors": "Yongcan Yu, Lijun Sheng, Ran He, Jian Liang",
    "venue": "ECCV 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2407.15773",
    "pdf": "https://arxiv.org/pdf/2407.15773",
    "code": "https://github.com/yuyongcan/STAMP",
    "bibtex": "@inproceedings{yu2024stamp,\n  title={STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay},\n  author={Yu, Yongcan and Sheng, Lijun and He, Ran and Liang, Jian},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Open-set",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "stfar_det",
    "full": "STFAR",
    "title": "STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization",
    "authors": "Yijin Chen, Xun Xu, Yongyi Su, Kui Jia",
    "venue": "arXiv 2023",
    "task": "Detection",
    "url": "https://arxiv.org/abs/2303.17937",
    "pdf": "https://arxiv.org/pdf/2303.17937",
    "code": null,
    "bibtex": "@article{chen2023stfar,\n  title={STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization},\n  author={Chen, Yijin and Xu, Xun and Su, Yongyi and Jia, Kui},\n  journal={arXiv preprint arXiv:2303.17937},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Object Detection",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "stma_signals_tta",
    "full": "STMA",
    "title": "Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment",
    "authors": "Théo Gnassounou, Antoine Collas, Rémi Flamary, Karim Lounici, Alexandre Gramfort",
    "venue": "arXiv 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2407.14303",
    "pdf": "https://arxiv.org/pdf/2407.14303",
    "code": null,
    "bibtex": "@article{gnassounou2024stma,\n  title={Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment},\n  author={Gnassounou, Th{\\'e}o and Collas, Antoine and Flamary, R{\\'e}mi and Lounici, Karim and Gramfort, Alexandre},\n  journal={arXiv preprint arXiv:2407.14303},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Time-Series Classification",
    "tags": [
      "Time-Series"
    ]
  },
  {
    "slug": "suta_asr_tta",
    "full": "SUTA",
    "title": "Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech Recognition",
    "authors": "Guan-Ting Lin, Shang-Wen Li, Hung-yi Lee",
    "venue": "Interspeech 2022",
    "task": "Sequence & Language",
    "url": "https://www.isca-archive.org/interspeech_2022/lin22b_interspeech.html",
    "pdf": "https://www.isca-archive.org/interspeech_2022/lin22b_interspeech.pdf",
    "code": "https://github.com/DanielLin94144/Test-time-adaptation-ASR-SUTA",
    "bibtex": "@inproceedings{lin2022listen,\n  title={Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech Recognition},\n  author={Lin, Guan-Ting and Li, Shang-Wen and Lee, Hung-yi},\n  booktitle={Proc. Interspeech 2022},\n  pages={2198--2202},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Speech Recognition",
    "tags": [
      "Speech",
      "Single-image"
    ]
  },
  {
    "slug": "suta_lm",
    "full": "SUTA-LM",
    "title": "SUTA-LM: Bridging Test-Time Adaptation and Language Model Rescoring for Robust ASR",
    "authors": "Wei-Ping Huang, Guan-Ting Lin, Hung-yi Lee",
    "venue": "ASRU 2025",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2506.11121",
    "pdf": "https://arxiv.org/pdf/2506.11121",
    "code": null,
    "bibtex": "@inproceedings{huang2025sutalm,\n  title={SUTA-LM: Bridging Test-Time Adaptation and Language Model Rescoring for Robust ASR},\n  author={Huang, Wei-Ping and Lin, Guan-Ting and Lee, Hung-yi},\n  booktitle={IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Speech Recognition",
    "tags": [
      "Speech",
      "Single-image"
    ]
  },
  {
    "slug": "svwa_tta",
    "full": "SVWA",
    "title": "Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging",
    "authors": "Ali Bahri, Moslem Yazdanpanah, Mehrdad Noori, Sahar Dastani, Milad Cheraghalikhani, David Osowiechi, Farzad Beizaee, Gustavo Adolfo Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2411.01116",
    "pdf": "https://arxiv.org/pdf/2411.01116",
    "code": "https://github.com/AliBahri94/SVWA_TTA",
    "bibtex": "@inproceedings{bahri2025svwatta,\n  title={Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging},\n  author={Bahri, Ali and Yazdanpanah, Moslem and Noori, Mehrdad and Dastani, Sahar and Cheraghalikhani, Milad and Osowiechi, David and Beizaee, Farzad and Vargas Hakim, Gustavo Adolfo and Ben Ayed, Ismail and Desrosiers, Christian},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": "Oral",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud"
    ]
  },
  {
    "slug": "swapprompt",
    "full": "SwapPrompt",
    "title": "SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models",
    "authors": "Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu",
    "venue": "NeurIPS 2023",
    "task": "Classification",
    "url": "https://proceedings.neurips.cc/paper_files/paper/2023/hash/cdd0640218a27e9e2c0e52e324e25db0-Abstract-Conference.html",
    "pdf": "https://proceedings.neurips.cc/paper_files/paper/2023/file/cdd0640218a27e9e2c0e52e324e25db0-Paper-Conference.pdf",
    "code": null,
    "bibtex": "@inproceedings{ma2023swapprompt,\n  title={SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models},\n  author={Ma, Xiaosong and Zhang, Jie and Guo, Song and Xu, Wenchao},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "sys12_survey",
    "full": "System-1/2 Survey",
    "title": "Test-time Computing: from System-1 Thinking to System-2 Thinking",
    "authors": "Yixin Ji, Juntao Li, Yang Xiang, Hai Ye, Kaixin Wu, Kai Yao, Jia Xu, Linjian Mo, Min Zhang",
    "venue": "arXiv 2025",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2501.02497",
    "pdf": "https://arxiv.org/pdf/2501.02497",
    "code": "https://github.com/Dereck0602/Awesome_Test_Time_LLMs",
    "bibtex": "@article{ji2025testtime,\n  title={Test-time Computing: from System-1 Thinking to System-2 Thinking},\n  author={Ji, Yixin and Li, Juntao and Xiang, Yang and Ye, Hai and Wu, Kaixin and Yao, Kai and Xu, Jia and Mo, Linjian and Zhang, Min},\n  journal={arXiv preprint arXiv:2501.02497},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "t3a",
    "full": "T3A",
    "title": "Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization",
    "authors": "Yusuke Iwasawa, Yutaka Matsuo",
    "venue": "NeurIPS 2021",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=e_yvNqkJKAW",
    "pdf": "https://openreview.net/pdf?id=e_yvNqkJKAW",
    "code": "https://github.com/matsuolab/T3A",
    "bibtex": "@inproceedings{iwasawa2021test,\n  title={Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization},\n  author={Iwasawa, Yusuke and Matsuo, Yutaka},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2021}\n}",
    "presentation": "Spotlight",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Gradient-free"
    ]
  },
  {
    "slug": "tablog",
    "full": "TabLog",
    "title": "TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules",
    "authors": "Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar",
    "venue": "ICML 2024",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v235/ren24b.html",
    "pdf": "https://raw.githubusercontent.com/mlresearch/v235/main/assets/ren24b/ren24b.pdf",
    "code": "https://github.com/WeijieyingRen/TabLog",
    "bibtex": "@inproceedings{ren2024tablog,\n  title={TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules},\n  author={Ren, Weijieying and Li, Xiaoting and Chen, Huiyuan and Rakesh, Vineeth and Wang, Zhuoyi and Das, Mahashweta and Honavar, Vasant G.},\n  booktitle={Proceedings of the International Conference on Machine Learning (ICML)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Tabular Classification",
    "tags": [
      "Tabular"
    ]
  },
  {
    "slug": "tafas_tsf_tta",
    "full": "TAFAS",
    "title": "Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation",
    "authors": "HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon",
    "venue": "AAAI 2025",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2501.04970",
    "pdf": "https://arxiv.org/pdf/2501.04970",
    "code": "https://github.com/kimanki/TAFAS",
    "bibtex": "@inproceedings{kim2025battling,\n  title={Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation},\n  author={Kim, HyunGi and Kim, Siwon and Mok, Jisoo and Yoon, Sungroh},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Time-Series Forecasting",
    "tags": [
      "Time-Series",
      "Online"
    ]
  },
  {
    "slug": "tast",
    "full": "TAST",
    "title": "Test-Time Adaptation via Self-Training with Nearest Neighbor Information",
    "authors": "Minguk Jang, Sae-Young Chung, Hye Won Chung",
    "venue": "ICLR 2023",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=EzLtB4M1SbM",
    "pdf": "https://arxiv.org/pdf/2207.10792",
    "code": "https://github.com/mingukjang/TAST",
    "bibtex": "@inproceedings{jang2023tast,\n  title={Test-Time Adaptation via Self-Training with Nearest Neighbor Information},\n  author={Jang, Minguk and Chung, Sae-Young and Chung, Hye Won},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Gradient-free"
    ]
  },
  {
    "slug": "tau_mt_eval_tta",
    "full": "TaU",
    "title": "Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization",
    "authors": "Runzhe Zhan, Xuebo Liu, Derek F. Wong, Cuilian Zhang, Lidia S. Chao, Min Zhang",
    "venue": "ACL 2023",
    "task": "Sequence & Language",
    "url": "https://aclanthology.org/2023.acl-long.47/",
    "pdf": "https://aclanthology.org/2023.acl-long.47.pdf",
    "code": "https://github.com/NLP2CT/TaU",
    "bibtex": "@inproceedings{zhan2023testtime,\n  title={Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization},\n  author={Zhan, Runzhe and Liu, Xuebo and Wong, Derek F. and Zhang, Cuilian and Chao, Lidia S. and Zhang, Min},\n  booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},\n  pages={807--820},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "MT Evaluation",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "tda",
    "full": "TDA",
    "title": "Efficient Test-Time Adaptation of Vision-Language Models",
    "authors": "Adilbek Karmanov, Dayan Guan, Shijian Lu, Abdulmotaleb El Saddik, Eric Xing",
    "venue": "CVPR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2403.18293",
    "pdf": "https://arxiv.org/pdf/2403.18293",
    "code": "https://github.com/kdiAAA/TDA",
    "bibtex": "@inproceedings{karmanov2024tda,\n  title={Efficient Test-Time Adaptation of Vision-Language Models},\n  author={Karmanov, Adilbek and Guan, Dayan and Lu, Shijian and El Saddik, Abdulmotaleb and Xing, Eric},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Gradient-free"
    ]
  },
  {
    "slug": "tds_wen",
    "full": "TDS (VQA)",
    "title": "Test-Time Model Adaptation for Visual Question Answering with Debiased Self-Supervisions",
    "authors": "Zhiquan Wen, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu",
    "venue": "IEEE TMM 2023",
    "task": "Sequence & Language",
    "url": "https://ieeexplore.ieee.org/document/10173554/",
    "pdf": null,
    "code": "https://github.com/Zhiquan-Wen/TDS",
    "bibtex": "@article{wen2023tds,\n  title={Test-Time Model Adaptation for Visual Question Answering with Debiased Self-Supervisions},\n  author={Wen, Zhiquan and Niu, Shuaicheng and Li, Ge and Wu, Qingyao and Tan, Mingkui and Wu, Qi},\n  journal={IEEE Transactions on Multimedia (TMM)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Visual Question Answering",
    "tags": [
      "Multimodal",
      "Vision-Language"
    ]
  },
  {
    "slug": "tea",
    "full": "TEA",
    "title": "TEA: Test-time Energy Adaptation",
    "authors": "Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng",
    "venue": "CVPR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2311.14402",
    "pdf": "https://arxiv.org/pdf/2311.14402",
    "code": "https://github.com/yuanyige/tea",
    "bibtex": "@inproceedings{yuan2024tea,\n  title={TEA: Test-time Energy Adaptation},\n  author={Yuan, Yige and Xu, Bingbing and Hou, Liang and Sun, Fei and Shen, Huawei and Cheng, Xueqi},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "teco_video",
    "full": "TeCo",
    "title": "Temporal Coherent Test-Time Optimization for Robust Video Classification",
    "authors": "Chenyu Yi, Siyuan Yang, Yufei Wang, Haoliang Li, Yap-Peng Tan, Alex C. Kot",
    "venue": "ICLR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2302.14309",
    "pdf": "https://arxiv.org/pdf/2302.14309",
    "code": null,
    "bibtex": "@inproceedings{yi2023temporal,\n  title={Temporal Coherent Test-Time Optimization for Robust Video Classification},\n  author={Yi, Chenyu and Yang, Siyuan and Wang, Yufei and Li, Haoliang and Tan, Yap-Peng and Kot, Alex C.},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Activity Recognition",
    "tags": [
      "Video",
      "Online"
    ]
  },
  {
    "slug": "tema",
    "full": "TEMA",
    "title": "Unraveling Batch Normalization for Realistic Test-Time Adaptation",
    "authors": "Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang",
    "venue": "AAAI 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2312.09486",
    "pdf": "https://arxiv.org/pdf/2312.09486",
    "code": "https://github.com/kiwi12138/RealisticTTA",
    "bibtex": "@inproceedings{su2024tema,\n  title={Unraveling Batch Normalization for Realistic Test-Time Adaptation},\n  author={Su, Zixian and Guo, Jingwei and Yao, Kai and Yang, Xi and Wang, Qiufeng and Huang, Kaizhu},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "tent",
    "full": "TENT",
    "title": "Tent: Fully Test-Time Adaptation by Entropy Minimization",
    "authors": "Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno Olshausen, Trevor Darrell",
    "venue": "ICLR 2021",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2006.10726",
    "pdf": "https://arxiv.org/pdf/2006.10726",
    "code": "https://github.com/DequanWang/tent",
    "bibtex": "@inproceedings{wang2021tent,\n  title={Tent: Fully Test-Time Adaptation by Entropy Minimization},\n  author={Wang, Dequan and Shelhamer, Evan and Liu, Shaoteng and Olshausen, Bruno and Darrell, Trevor},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2021}\n}",
    "presentation": "Spotlight",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "tesla",
    "full": "TeSLA",
    "title": "TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation",
    "authors": "Devavrat Tomar, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2303.09870",
    "pdf": "https://arxiv.org/pdf/2303.09870",
    "code": "https://github.com/devavratTomar/TeSLA",
    "bibtex": "@inproceedings{tomar2023tesla,\n  title={TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation},\n  author={Tomar, Devavrat and Vray, Guillaume and Bozorgtabar, Behzad and Thiran, Jean-Philippe},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "test_video",
    "full": "TeST",
    "title": "TeST: Test-time Self-Training under Distribution Shift",
    "authors": "Samarth Sinha, Peter Gehler, Francesco Locatello, Bernt Schiele",
    "venue": "WACV 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2209.11459",
    "pdf": "https://arxiv.org/pdf/2209.11459",
    "code": null,
    "bibtex": "@inproceedings{sinha2023test,\n  title={TeST: Test-time Self-Training under Distribution Shift},\n  author={Sinha, Samarth and Gehler, Peter and Locatello, Francesco and Schiele, Bernt},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Activity Recognition",
    "tags": [
      "Video",
      "Online"
    ]
  },
  {
    "slug": "doctta_isit_il",
    "full": "Text-Line TTA",
    "title": "Is it an i or an l: Test-time Adaptation of Text Line Recognition Models",
    "authors": "Debapriya Tula, Sujoy Paul, Gagan Madan, Peter Garst, Reeve Ingle, Gaurav Aggarwal",
    "venue": "arXiv 2023",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2308.15037",
    "pdf": "https://arxiv.org/pdf/2308.15037",
    "code": null,
    "bibtex": "@article{tula2023isit,\n  title={Is it an i or an l: Test-time Adaptation of Text Line Recognition Models},\n  author={Tula, Debapriya and Paul, Sujoy and Madan, Gagan and Garst, Peter and Ingle, Reeve and Aggarwal, Gaurav},\n  journal={arXiv preprint arXiv:2308.15037},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Text Recognition (OCR)",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "tipi",
    "full": "TIPI",
    "title": "TIPI: Test Time Adaptation with Transformation Invariance",
    "authors": "A. Tuan Nguyen, Thanh Nguyen-Tang, Ser-Nam Lim, Philip H.S. Torr",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2023/html/Nguyen_TIPI_Test_Time_Adaptation_With_Transformation_Invariance_CVPR_2023_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2023/papers/Nguyen_TIPI_Test_Time_Adaptation_With_Transformation_Invariance_CVPR_2023_paper.pdf",
    "code": "https://github.com/atuannguyen/TIPI",
    "bibtex": "@inproceedings{nguyen2023tipi,\n  title={TIPI: Test Time Adaptation with Transformation Invariance},\n  author={Nguyen, A. Tuan and Nguyen-Tang, Thanh and Lim, Ser-Nam and Torr, Philip H.S.},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "tpgaze",
    "full": "TPGaze",
    "title": "Test-Time Personalization with Meta Prompt for Gaze Estimation",
    "authors": "Huan Liu, Julia Qi, Zhenhao Li, Mohammad Hassanpour, Yang Wang, Konstantinos Plataniotis, Yuanhao Yu",
    "venue": "AAAI 2024",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2401.01577",
    "pdf": "https://arxiv.org/pdf/2401.01577",
    "code": "https://github.com/hmarkamcan/TPGaze",
    "bibtex": "@inproceedings{liu2024tpgaze,\n  title={Test-Time Personalization with Meta Prompt for Gaze Estimation},\n  author={Liu, Huan and Qi, Julia and Li, Zhenhao and Hassanpour, Mohammad and Wang, Yang and Plataniotis, Konstantinos and Yu, Yuanhao},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Vision-Language"
    ]
  },
  {
    "slug": "tps",
    "full": "TPS",
    "title": "Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models",
    "authors": "Elaine Sui, Xiaohan Wang, Serena Yeung-Levy",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2403.12952",
    "pdf": "https://arxiv.org/pdf/2403.12952",
    "code": "https://github.com/elaine-sui/TPS",
    "bibtex": "@inproceedings{sui2025just,\n  title={Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models},\n  author={Sui, Elaine and Wang, Xiaohan and Yeung-Levy, Serena},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Gradient-free"
    ]
  },
  {
    "slug": "tpt",
    "full": "TPT",
    "title": "Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models",
    "authors": "Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao",
    "venue": "NeurIPS 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2209.07511",
    "pdf": "https://arxiv.org/pdf/2209.07511",
    "code": "https://github.com/azshue/TPT",
    "bibtex": "@inproceedings{shu2022tpt,\n  title={Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models},\n  author={Shu, Manli and Nie, Weili and Huang, De-An and Yu, Zhiding and Goldstein, Tom and Anandkumar, Anima and Xiao, Chaowei},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "tribe",
    "full": "TRIBE",
    "title": "Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization",
    "authors": "Yongyi Su, Xun Xu, Tianrui Li, Kui Jia",
    "venue": "AAAI 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2309.14949",
    "pdf": "https://arxiv.org/pdf/2309.14949",
    "code": "https://github.com/Gorilla-Lab-SCUT/TRIBE",
    "bibtex": "@inproceedings{su2024tribe,\n  title={Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization},\n  author={Su, Yongyi and Xu, Xun and Li, Tianrui and Jia, Kui},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "tsa",
    "full": "TSA",
    "title": "Structural Alignment Improves Graph Test-Time Adaptation",
    "authors": "Hans Hao-Hsun Hsu, Shikun Liu, Han Zhao, Pan Li",
    "venue": "AISTATS 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2502.18334",
    "pdf": "https://arxiv.org/pdf/2502.18334",
    "code": "https://github.com/Graph-COM/TSA",
    "bibtex": "@article{hsu2025tsa,\n  title={Structural Alignment Improves Graph Test-Time Adaptation},\n  author={Hsu, Hans Hao-Hsun and Liu, Shikun and Zhao, Han and Li, Pan},\n  journal={arXiv preprint arXiv:2502.18334},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "tta_poisoning",
    "full": "TTA Data Poisoning",
    "title": "On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning",
    "authors": "Yongyi Su, Yushu Li, Nanqing Liu, Kui Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu",
    "venue": "ICLR 2025",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2410.04682",
    "pdf": "https://arxiv.org/pdf/2410.04682",
    "code": null,
    "bibtex": "@inproceedings{su2025ttapoisoning,\n  title={On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning},\n  author={Su, Yongyi and Li, Yushu and Liu, Nanqing and Jia, Kui and Yang, Xulei and Foo, Chuan-Sheng and Xu, Xun},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image",
      "Adversarial"
    ]
  },
  {
    "slug": "tta_survey_liang",
    "full": "TTA Survey",
    "title": "A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts",
    "authors": "Jian Liang, Ran He, Tieniu Tan",
    "venue": "IJCV 2024",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2303.15361",
    "pdf": "https://arxiv.org/pdf/2303.15361",
    "code": "https://github.com/tim-learn/awesome-test-time-adaptation",
    "bibtex": "@article{liang2024ttasurvey,\n  title={A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts},\n  author={Liang, Jian and He, Ran and Tan, Tieniu},\n  journal={International Journal of Computer Vision (IJCV)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "ttacalib_med",
    "full": "TTA-Calib (Med)",
    "title": "Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift",
    "authors": "Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou",
    "venue": "MICCAI 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2207.00769",
    "pdf": "https://arxiv.org/pdf/2207.00769",
    "code": null,
    "bibtex": "@inproceedings{ma2022ttacalib,\n  title={Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift},\n  author={Ma, Wenao and Chen, Cheng and Zheng, Shuang and Qin, Jing and Zhang, Huimao and Dou, Qi},\n  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Medical Image Classification",
    "tags": [
      "Image",
      "Medical",
      "Label-Shift"
    ]
  },
  {
    "slug": "tta_vlm_illusion",
    "full": "TTA-VLM Bench",
    "title": "The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models",
    "authors": "Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan",
    "venue": "NeurIPS 2025",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2506.24000",
    "pdf": "https://arxiv.org/pdf/2506.24000",
    "code": "https://github.com/TomSheng21/tta-vlm",
    "bibtex": "@inproceedings{sheng2025ttavlm,\n  title={The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models},\n  author={Sheng, Lijun and Liang, Jian and He, Ran and Wang, Zilei and Tan, Tieniu},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Vision-Language"
    ]
  },
  {
    "slug": "ttab",
    "full": "TTAB",
    "title": "On Pitfalls of Test-Time Adaptation",
    "authors": "Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin",
    "venue": "ICML 2023",
    "task": "Benchmark / Survey",
    "url": "https://proceedings.mlr.press/v202/zhao23d.html",
    "pdf": "https://arxiv.org/pdf/2306.03536",
    "code": "https://github.com/LINs-lab/ttab",
    "bibtex": "@inproceedings{zhao2023ttab,\n  title={On Pitfalls of Test-Time Adaptation},\n  author={Zhao, Hao and Liu, Yuejiang and Alahi, Alexandre and Lin, Tao},\n  booktitle={Proceedings of the 40th International Conference on Machine Learning (ICML)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "ttac",
    "full": "TTAC",
    "title": "Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering",
    "authors": "Yongyi Su, Xun Xu, Kui Jia",
    "venue": "NeurIPS 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2206.02721",
    "pdf": "https://arxiv.org/pdf/2206.02721",
    "code": "https://github.com/Gorilla-Lab-SCUT/TTAC",
    "bibtex": "@inproceedings{su2022ttac,\n  title={Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering},\n  author={Su, Yongyi and Xu, Xun and Jia, Kui},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "ttac2",
    "full": "TTAC++",
    "title": "Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training",
    "authors": "Yongyi Su, Xun Xu, Tianrui Li, Kui Jia",
    "venue": "IEEE TPAMI 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2303.10856",
    "pdf": "https://arxiv.org/pdf/2303.10856",
    "code": "https://github.com/Gorilla-Lab-SCUT/TTAC2",
    "bibtex": "@article{su2024ttacpp,\n  title={Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training},\n  author={Su, Yongyi and Xu, Xun and Li, Tianrui and Jia, Kui},\n  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "ttdg_fas",
    "full": "TTDG-FAS",
    "title": "Test-Time Domain Generalization for Face Anti-Spoofing",
    "authors": "Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Xuequan Lu, Shouhong Ding, Lizhuang Ma",
    "venue": "CVPR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2403.19334",
    "pdf": "https://arxiv.org/pdf/2403.19334",
    "code": null,
    "bibtex": "@inproceedings{zhou2024ttdg,\n  title={Test-Time Domain Generalization for Face Anti-Spoofing},\n  author={Zhou, Qianyu and Zhang, Ke-Yue and Yao, Taiping and Lu, Xuequan and Ding, Shouhong and Ma, Lizhuang},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Face Anti-Spoofing",
    "tags": [
      "Face-Anti-Spoofing",
      "Image"
    ]
  },
  {
    "slug": "tte_adv_robust",
    "full": "TTE",
    "title": "Enhancing Adversarial Robustness via Test-time Transformation Ensembling",
    "authors": "Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali Thabet, Bernard Ghanem, Pablo Arbeláez",
    "venue": "ICCVW 2021",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2107.14110",
    "pdf": "https://arxiv.org/pdf/2107.14110",
    "code": "https://github.com/juancprzs/TTE",
    "bibtex": "@inproceedings{perez2021enhancing,\n  title={Enhancing Adversarial Robustness via Test-time Transformation Ensembling},\n  author={P{\\'e}rez, Juan C. and Alfarra, Motasem and Jeanneret, Guillaume and Rueda, Laura and Thabet, Ali and Ghanem, Bernard and Arbel{\\'a}ez, Pablo},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)},\n  year={2021}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Adversarial",
      "Single-image"
    ]
  },
  {
    "slug": "ttn",
    "full": "TTN",
    "title": "TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation",
    "authors": "Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi",
    "venue": "ICLR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2302.05155",
    "pdf": "https://arxiv.org/pdf/2302.05155",
    "code": null,
    "bibtex": "@inproceedings{lim2023ttn,\n  title={TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation},\n  author={Lim, Hyesu and Kim, Byeonggeun and Choo, Jaegul and Choi, Sungha},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "ttn_med_seg",
    "full": "TTN-Med",
    "title": "Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation",
    "authors": "Neerav Karani, Ertunc Erdil, Krishna Chaitanya, Ender Konukoglu",
    "venue": "MedIA 2021",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2004.04668",
    "pdf": "https://arxiv.org/pdf/2004.04668",
    "code": "https://github.com/neerakara/test-time-adaptable-neural-networks-for-domain-generalization",
    "bibtex": "@article{karani2021test,\n  title={Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation},\n  author={Karani, Neerav and Erdil, Ertunc and Chaitanya, Krishna and Konukoglu, Ender},\n  journal={Medical Image Analysis},\n  volume={68},\n  pages={101907},\n  year={2021}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Medical"
    ]
  },
  {
    "slug": "ttp_pose",
    "full": "TTP",
    "title": "Test-Time Personalization with a Transformer for Human Pose Estimation",
    "authors": "Miao Hao, Yizhuo Li, Zonglin Di, Nitesh B. Gundavarapu, Xiaolong Wang",
    "venue": "NeurIPS 2021",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2107.02133",
    "pdf": "https://arxiv.org/pdf/2107.02133",
    "code": "https://github.com/harry11162/TTP",
    "bibtex": "@inproceedings{hao2021test,\n  title={Test-Time Personalization with a Transformer for Human Pose Estimation},\n  author={Hao, Miao and Li, Yizhuo and Di, Zonglin and Gundavarapu, Nitesh B. and Wang, Xiaolong},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2021}\n}",
    "presentation": null,
    "task_fine": "Image Regression",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "ttrl",
    "full": "TTRL",
    "title": "TTRL: Test-Time Reinforcement Learning",
    "authors": "Yuxin Zuo, Kaiyan Zhang, Shang Qu, Li Sheng, Xuekai Zhu, Biqing Qi, Youbang Sun, Ganqu Cui, Ning Ding, Bowen Zhou",
    "venue": "NeurIPS 2025",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2504.16084",
    "pdf": "https://arxiv.org/pdf/2504.16084",
    "code": "https://github.com/PRIME-RL/TTRL",
    "bibtex": "@article{zuo2025ttrl,\n  title={TTRL: Test-Time Reinforcement Learning},\n  author={Zuo, Yuxin and Zhang, Kaiyan and Qu, Shang and Sheng, Li and Zhu, Xuekai and Qi, Biqing and Sun, Youbang and Cui, Ganqu and Ding, Ning and Zhou, Bowen},\n  journal={arXiv preprint arXiv:2504.16084},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Reasoning and QA",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "ttt",
    "full": "TTT",
    "title": "Test-Time Training with Self-Supervision for Generalization under Distribution Shifts",
    "authors": "Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt",
    "venue": "ICML 2020",
    "task": "Classification",
    "url": "https://arxiv.org/abs/1909.13231",
    "pdf": "https://arxiv.org/pdf/1909.13231",
    "code": "https://github.com/yueatsprograms/ttt_cifar_release",
    "bibtex": "@inproceedings{sun2020ttt,\n  title={Test-Time Training with Self-Supervision for Generalization under Distribution Shifts},\n  author={Sun, Yu and Wang, Xiaolong and Liu, Zhuang and Miller, John and Efros, Alexei A. and Hardt, Moritz},\n  booktitle={Proceedings of the 37th International Conference on Machine Learning (ICML)},\n  year={2020}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "ttt_arc",
    "full": "TTT (ARC)",
    "title": "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning",
    "authors": "Ekin Akyürek, Mehul Damani, Linlu Qiu, Han Guo, Yoon Kim, Jacob Andreas",
    "venue": "ICML 2025",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2411.07279",
    "pdf": "https://arxiv.org/pdf/2411.07279",
    "code": "https://github.com/ekinakyurek/marc",
    "bibtex": "@inproceedings{akyurek2025surprising,\n  title={The Surprising Effectiveness of Test-Time Training for Abstract Reasoning},\n  author={Aky{\\\"u}rek, Ekin and Damani, Mehul and Qiu, Linlu and Guo, Han and Kim, Yoon and Andreas, Jacob},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Reasoning and QA",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "ttt_plus",
    "full": "TTT++",
    "title": "TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?",
    "authors": "Yuejiang Liu, Parth Kothari, Bastien van Delft, Baptiste Bellot-Gurlet, Taylor Mordan, Alexandre Alahi",
    "venue": "NeurIPS 2021",
    "task": "Classification",
    "url": "https://proceedings.neurips.cc/paper/2021/hash/b618c3210e934362ac261db280128c22-Abstract.html",
    "pdf": "https://proceedings.neurips.cc/paper/2021/file/b618c3210e934362ac261db280128c22-Paper.pdf",
    "code": "https://github.com/vita-epfl/ttt-plus-plus",
    "bibtex": "@inproceedings{liu2021tttpp,\n  title={TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?},\n  author={Liu, Yuejiang and Kothari, Parth and van Delft, Bastien and Bellot-Gurlet, Baptiste and Mordan, Taylor and Alahi, Alexandre},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2021}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "ttt_ts_forecasting",
    "full": "TTT-Forecast",
    "title": "Test Time Learning for Time Series Forecasting",
    "authors": "Panayiotis Christou, Shichu Chen, Xupeng Chen, Parijat Dube",
    "venue": "arXiv 2024",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2409.14012",
    "pdf": "https://arxiv.org/pdf/2409.14012",
    "code": null,
    "bibtex": "@article{christou2024testtime,\n  title={Test Time Learning for Time Series Forecasting},\n  author={Christou, Panayiotis and Chen, Shichu and Chen, Xupeng and Dube, Parijat},\n  journal={arXiv preprint arXiv:2409.14012},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Time-Series Forecasting",
    "tags": [
      "Time-Series"
    ]
  },
  {
    "slug": "ttt_kd_seg",
    "full": "TTT-KD",
    "title": "TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models",
    "authors": "Lisa Weijler, Muhammad Jehanzeb Mirza, Leon Sick, Can Ekkazan, Pedro Hermosilla",
    "venue": "3DV 2025",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2403.11691",
    "pdf": "https://arxiv.org/pdf/2403.11691",
    "code": null,
    "bibtex": "@inproceedings{weijler2025tttkd,\n  title={TTT-KD: Test-Time Training for 3D Semantic Segmentation through Knowledge Distillation from Foundation Models},\n  author={Weijler, Lisa and Mirza, Muhammad Jehanzeb and Sick, Leon and Ekkazan, Can and Hermosilla, Pedro},\n  booktitle={International Conference on 3D Vision (3DV)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Semantic Segmentation",
    "tags": [
      "3D/Point-Cloud",
      "Image"
    ]
  },
  {
    "slug": "ttt_layers",
    "full": "TTT-Linear/MLP",
    "title": "Learning to (Learn at Test Time): RNNs with Expressive Hidden States",
    "authors": "Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin",
    "venue": "arXiv 2024",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2407.04620",
    "pdf": "https://arxiv.org/pdf/2407.04620",
    "code": "https://github.com/test-time-training/ttt-lm-pytorch",
    "bibtex": "@article{sun2024ttt,\n  title={Learning to (Learn at Test Time): RNNs with Expressive Hidden States},\n  author={Sun, Yu and Li, Xinhao and Dalal, Karan and Xu, Jiarui and Vikram, Arjun and Zhang, Genghan and Dubois, Yann and Chen, Xinlei and Wang, Xiaolong and Koyejo, Sanmi and Hashimoto, Tatsunori and Guestrin, Carlos},\n  journal={arXiv preprint arXiv:2407.04620},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Language Modeling",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "ttt_mae",
    "full": "TTT-MAE",
    "title": "Test-Time Training with Masked Autoencoders",
    "authors": "Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros",
    "venue": "NeurIPS 2022",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2209.07522",
    "pdf": "https://arxiv.org/pdf/2209.07522",
    "code": "https://github.com/yossigandelsman/test_time_training_mae",
    "bibtex": "@inproceedings{gandelsman2022tttmae,\n  title={Test-Time Training with Masked Autoencoders},\n  author={Gandelsman, Yossi and Sun, Yu and Chen, Xinlei and Efros, Alexei A.},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2022}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ]
  },
  {
    "slug": "ttt_nn_llm",
    "full": "TTT-NN",
    "title": "Test-Time Training on Nearest Neighbors for Large Language Models",
    "authors": "Moritz Hardt, Yu Sun",
    "venue": "ICLR 2024",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2305.18466",
    "pdf": "https://arxiv.org/pdf/2305.18466",
    "code": "https://github.com/socialfoundations/tttlm",
    "bibtex": "@inproceedings{hardt2024ttt,\n  title={Test-Time Training on Nearest Neighbors for Large Language Models},\n  author={Hardt, Moritz and Sun, Yu},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Language Modeling",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "unient",
    "full": "UniEnt",
    "title": "Unified Entropy Optimization for Open-Set Test-Time Adaptation",
    "authors": "Zhengqing Gao, Xu-Yao Zhang, Cheng-Lin Liu",
    "venue": "CVPR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2404.06065",
    "pdf": "https://arxiv.org/pdf/2404.06065",
    "code": "https://github.com/gaozhengqing/UniEnt",
    "bibtex": "@inproceedings{gao2024unient,\n  title={Unified Entropy Optimization for Open-Set Test-Time Adaptation},\n  author={Gao, Zhengqing and Zhang, Xu-Yao and Liu, Cheng-Lin},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "OOD Detection",
    "tags": [
      "Image",
      "Open-set"
    ]
  },
  {
    "slug": "unitta",
    "full": "UniTTA",
    "title": "UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation",
    "authors": "Chaoqun Du, Yulin Wang, Jiayi Guo, Yizeng Han, Jie Zhou, Gao Huang",
    "venue": "arXiv 2024",
    "task": "Benchmark / Survey",
    "url": "https://arxiv.org/abs/2407.20080",
    "pdf": "https://arxiv.org/pdf/2407.20080",
    "code": "https://github.com/LeapLabTHU/UniTTA",
    "bibtex": "@article{du2024unitta,\n  title={UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation},\n  author={Du, Chaoqun and Wang, Yulin and Guo, Jiayi and Han, Yizeng and Zhou, Jie and Huang, Gao},\n  journal={arXiv preprint arXiv:2407.20080},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "vcotta",
    "full": "VCoTTA",
    "title": "Variational Continual Test-Time Adaptation",
    "authors": "Fan Lyu, Kaile Du, Yuyang Li, Hanyu Zhao, Zhang Zhang, Guangcan Liu, Liang Wang",
    "venue": "arXiv 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2402.08182",
    "pdf": "https://arxiv.org/pdf/2402.08182",
    "code": null,
    "bibtex": "@article{lyu2024vcotta,\n  title={Variational Continual Test-Time Adaptation},\n  author={Lyu, Fan and Du, Kaile and Li, Yuyang and Zhao, Hanyu and Zhang, Zhang and Liu, Guangcan and Wang, Liang},\n  journal={arXiv preprint arXiv:2402.08182},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "vdp",
    "full": "VDP",
    "title": "Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation",
    "authors": "Yulu Gan, Yan Bai, Yihang Lou, Xianzheng Ma, Renrui Zhang, Nian Shi, Lin Luo",
    "venue": "AAAI 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2212.04145",
    "pdf": "https://arxiv.org/pdf/2212.04145",
    "code": null,
    "bibtex": "@inproceedings{gan2023decorate,\n  title={Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation},\n  author={Gan, Yulu and Bai, Yan and Lou, Yihang and Ma, Xianzheng and Zhang, Renrui and Shi, Nian and Luo, Lin},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2023}\n}",
    "presentation": "Oral",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Vision-Language",
      "Continual"
    ]
  },
  {
    "slug": "vida",
    "full": "ViDA",
    "title": "ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation",
    "authors": "Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang",
    "venue": "ICLR 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2306.04344",
    "pdf": "https://arxiv.org/pdf/2306.04344",
    "code": "https://github.com/Yangsenqiao/vida",
    "bibtex": "@inproceedings{liu2024vida,\n  title={ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation},\n  author={Liu, Jiaming and Yang, Senqiao and Jia, Peidong and Zhang, Renrui and Lu, Ming and Guo, Yandong and Xue, Wei and Zhang, Shanghang},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "vitta_video_tta",
    "full": "ViTTA",
    "title": "Video Test-Time Adaptation for Action Recognition",
    "authors": "Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof",
    "venue": "CVPR 2023",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2211.15393",
    "pdf": "https://arxiv.org/pdf/2211.15393",
    "code": "https://github.com/wlin-at/ViTTA",
    "bibtex": "@inproceedings{lin2023video,\n  title={Video Test-Time Adaptation for Action Recognition},\n  author={Lin, Wei and Mirza, Muhammad Jehanzeb and Kozinski, Mateusz and Possegger, Horst and Kuehne, Hilde and Bischof, Horst},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": null,
    "task_fine": "Activity Recognition",
    "tags": [
      "Video",
      "Online"
    ]
  },
  {
    "slug": "vnl",
    "full": "VNL",
    "title": "Learning Variational Neighbor Labels for Test-Time Domain Generalization",
    "authors": "Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek",
    "venue": "CoLLAs 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2307.04033",
    "pdf": "https://arxiv.org/pdf/2307.04033",
    "code": null,
    "bibtex": "@inproceedings{ambekar2024vnl,\n  title={Learning Variational Neighbor Labels for Test-Time Domain Generalization},\n  author={Ambekar, Sameer and Xiao, Zehao and Shen, Jiayi and Zhen, Xiantong and Snoek, Cees G. M.},\n  booktitle={Conference on Lifelong Learning Agents (CoLLAs)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "watt",
    "full": "WATT",
    "title": "WATT: Weight Average Test-Time Adaptation of CLIP",
    "authors": "David Osowiechi, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2406.13875",
    "pdf": "https://arxiv.org/pdf/2406.13875",
    "code": "https://github.com/Mehrdad-Noori/WATT",
    "bibtex": "@inproceedings{osowiechi2024watt,\n  title={WATT: Weight Average Test-Time Adaptation of CLIP},\n  author={Osowiechi, David and Noori, Mehrdad and Hakim, Gustavo Adolfo Vargas and Yazdanpanah, Moslem and Bahri, Ali and Cheraghalikhani, Milad and Dastani, Sahar and Beizaee, Farzad and Ben Ayed, Ismail and Desrosiers, Christian},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language"
    ]
  },
  {
    "slug": "zero_vlm",
    "full": "ZERO",
    "title": "Frustratingly Easy Test-Time Adaptation of Vision-Language Models",
    "authors": "Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2405.18330",
    "pdf": "https://arxiv.org/pdf/2405.18330",
    "code": "https://github.com/FarinaMatteo/zero",
    "bibtex": "@inproceedings{farina2024frustratingly,\n  title={Frustratingly Easy Test-Time Adaptation of Vision-Language Models},\n  author={Farina, Matteo and Franchi, Gianni and Iacca, Giovanni and Mancini, Massimiliano and Ricci, Elisa},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": null,
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Gradient-free"
    ]
  },
  {
    "slug": "zoa_deng",
    "full": "ZOA",
    "title": "Test-Time Model Adaptation for Quantized Neural Networks",
    "authors": "Zeshuai Deng, Guohao Chen, Shuaicheng Niu, Hui Luo, Shuhai Zhang, Yifan Yang, Renjie Chen, Wei Luo, Mingkui Tan",
    "venue": "ACM MM 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2508.02180",
    "pdf": "https://arxiv.org/pdf/2508.02180",
    "code": "https://github.com/DengZeshuai/ZOA",
    "bibtex": "@inproceedings{deng2025zoa,\n  title={Test-Time Model Adaptation for Quantized Neural Networks},\n  author={Deng, Zeshuai and Chen, Guohao and Niu, Shuaicheng and Luo, Hui and Zhang, Shuhai and Yang, Yifan and Chen, Renjie and Luo, Wei and Tan, Mingkui},\n  booktitle={Proceedings of the ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": null,
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual",
      "Gradient-free"
    ]
  },
  {
    "slug": "boosting_asr_robustness_via_test_time_re",
    "full": "ASR-TRA",
    "title": "Boosting ASR Robustness via Test-Time Reinforcement Learning with Audio-Text Semantic Rewards",
    "authors": "Linghan Fang, Tianxin Xie, Li Liu",
    "venue": "arXiv 2026",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2603.05231",
    "pdf": "https://arxiv.org/pdf/2603.05231",
    "code": "",
    "bibtex": "@misc{fang2026asrtra,\n  title={Boosting ASR Robustness via Test-Time Reinforcement Learning with Audio-Text Semantic Rewards},\n  author={Fang, Linghan and Xie, Tianxin and Liu, Li},\n  year={2026},\n  eprint={2603.05231},\n  archivePrefix={arXiv},\n  primaryClass={cs.SD}\n}",
    "presentation": "",
    "task_fine": "Speech Recognition",
    "tags": [
      "Audio",
      "Speech"
    ]
  },
  {
    "slug": "test_time_training_for_speech_enhancemen",
    "full": "",
    "title": "Test-Time Training for Speech Enhancement",
    "authors": "Avishkar Behera, Riya Ann Easow, Venkatesh Parvathala, K. Sri Rama Murty",
    "venue": "Interspeech 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2508.01847",
    "pdf": "https://arxiv.org/pdf/2508.01847",
    "code": "",
    "bibtex": "@inproceedings{behera2025ttt,\n  title={Test-Time Training for Speech Enhancement},\n  author={Behera, Avishkar and Easow, Riya Ann and Parvathala, Venkatesh and Murty, K. Sri Rama},\n  booktitle={Proceedings of Interspeech 2025},\n  pages={2375--2379},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Audio Classification",
    "tags": [
      "Audio",
      "Speech"
    ]
  },
  {
    "slug": "scribe",
    "full": "SCRIBE",
    "title": "SCRIBE: Stroke- and Context-Regularized Test-Time Adaptation for Handwritten Text Recognition",
    "authors": "Wenhao Gu, Zhixiang Chi, Ching Suen, Yang Wang",
    "venue": "arXiv 2025",
    "task": "Sequence & Language",
    "url": "https://openreview.net/forum?id=WIThX8Zfvw",
    "pdf": "",
    "code": "",
    "bibtex": "@misc{gu2025scribe,\n  title={SCRIBE: Stroke- and Context-Regularized Test-Time Adaptation for Handwritten Text Recognition},\n  author={Gu, Wenhao and Chi, Zhixiang and Suen, Ching and Wang, Yang},\n  year={2025},\n  note={Under review at ICLR 2026},\n  url={https://openreview.net/forum?id=WIThX8Zfvw}\n}",
    "presentation": "",
    "task_fine": "Text Recognition (OCR)",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "audio_cue_video_tta",
    "full": "Audio-Cue Video TTA",
    "title": "Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation",
    "authors": "Runhao Zeng, Qi Deng, Ronghao Zhang, Shuaicheng Niu, Jian Chen, Xiping Hu, Victor C. M. Leung",
    "venue": "IEEE TCSVT 2025",
    "task": "Classification",
    "url": "https://dblp.org/pid/254/1388.html",
    "pdf": "",
    "code": "",
    "bibtex": "@article{zeng2025audiotta,\n  title={Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation},\n  author={Zeng, Runhao and Deng, Qi and Zhang, Ronghao and Niu, Shuaicheng and Chen, Jian and Hu, Xiping and Leung, Victor C. M.},\n  journal={IEEE Transactions on Circuits and Systems for Video Technology},\n  volume={35},\n  number={12},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Activity Recognition",
    "tags": [
      "Audio",
      "Video",
      "Online"
    ]
  },
  {
    "slug": "towards_egocentric_3d_hand_pose_estimati",
    "full": "V-HPOT",
    "title": "Towards Egocentric 3D Hand Pose Estimation in Unseen Domains",
    "authors": "Wiktor Mucha, Michael Wray, Martin Kampel",
    "venue": "WACV 2026",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2601.06537",
    "pdf": "https://arxiv.org/pdf/2601.06537",
    "code": "",
    "bibtex": "@article{mucha2026vhpot,\n  title={Towards Egocentric 3D Hand Pose Estimation in Unseen Domains},\n  author={Mucha, Wiktor and Wray, Michael and Kampel, Martin},\n  journal={arXiv preprint arXiv:2601.06537},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Image Regression",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Video"
    ]
  },
  {
    "slug": "fga_flatness_guided_test_time_adaptation",
    "full": "FGA",
    "title": "Flatness Guided Test-Time Adaptation for Vision-Language Models",
    "authors": "Aodi Li, Liansheng Zhuang, Xiao Long, Houqiang Li, Shafei Wang",
    "venue": "ICLR 2026",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=S90g7NE88b",
    "pdf": "https://openreview.net/pdf?id=S90g7NE88b",
    "code": "",
    "bibtex": "@inproceedings{li2026flatness,\n  title={Flatness Guided Test-Time Adaptation for Vision-Language Models},\n  author={Li, Aodi and Zhuang, Liansheng and Long, Xiao and Li, Houqiang and Wang, Shafei},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Gradient-free"
    ]
  },
  {
    "slug": "adte_adaptive_debiasing_tsallis_entropy_",
    "full": "ADTE",
    "title": "Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation",
    "authors": "Xiangyu Wu, Dongming Jiang, Feng Yu, Yueying Tian, Jiaqi Tang, Qing-Guo Chen, Yang Yang, Jianfeng Lu",
    "venue": "ICLR 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2602.11743",
    "pdf": "https://arxiv.org/pdf/2602.11743",
    "code": "",
    "bibtex": "@inproceedings{wu2026adaptive,\n  title={Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation},\n  author={Wu, Xiangyu and Jiang, Dongming and Yu, Feng and Tian, Yueying and Tang, Jiaqi and Chen, Qing-Guo and Yang, Yang and Lu, Jianfeng},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Continual",
      "Label-Shift"
    ]
  },
  {
    "slug": "stad_temporal_test_time_adaptation_with_",
    "full": "STAD",
    "title": "Temporal Test-Time Adaptation with State-Space Models",
    "authors": "Mona Schirmer, Dan Zhang, Eric Nalisnick",
    "venue": "ICLR 2026",
    "task": "Classification",
    "url": "https://iclr.cc/virtual/2026/poster/10014028",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{schirmer2026temporal,\n  title={Temporal Test-Time Adaptation with State-Space Models},\n  author={Schirmer, Mona and Zhang, Dan and Nalisnick, Eric},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "test_time_adaptation_without_source_data",
    "full": "",
    "title": "Test-Time Adaptation without Source Data for Out-of-Domain Bioactivity Prediction",
    "authors": "Yiming Yang, Zhiyuan Zhou, Yueming Yin, Hoi-Yeung Li, Adams Kong",
    "venue": "ICLR 2026",
    "task": "Regression",
    "url": "https://iclr.cc/virtual/2026/poster/10011942",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{yang2026testtime,\n  title={Test-Time Adaptation without Source Data for Out-of-Domain Bioactivity Prediction},\n  author={Yang, Yiming and Zhou, Zhiyuan and Yin, Yueming and Li, Hoi-Yeung and Kong, Adams},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Molecular"
    ]
  },
  {
    "slug": "diffusion_calibrated_continual_test_time",
    "full": "",
    "title": "Diffusion-calibrated Continual Test-time Adaptation",
    "authors": "Xu Yang, Moqi Li, Kun Wei",
    "venue": "AAAI 2026",
    "task": "Classification",
    "url": "https://ojs.aaai.org/index.php/AAAI/article/view/39989",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{yang2026diffusion,\n  title={Diffusion-calibrated Continual Test-time Adaptation},\n  author={Yang, Xu and Li, Moqi and Wei, Kun},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "uni_adapter",
    "full": "Uni-Adapter",
    "title": "Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models",
    "authors": "Mehran Tamjidi, Hamidreza Dastmalchi, Mohammadreza Alimoradijazi, Ali Cheraghian, Aijun An, Morteza Saberi",
    "venue": "AAAI 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2511.15311",
    "pdf": "https://arxiv.org/pdf/2511.15311",
    "code": "https://mehran-tam.github.io/Uni-Adapter",
    "bibtex": "@article{tamjidi2025uniadapter,\n  title={Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models},\n  author={Tamjidi, Mehran and Dastmalchi, Hamidreza and Alimoradijazi, Mohammadreza and Cheraghian, Ali and An, Aijun and Saberi, Morteza},\n  journal={arXiv preprint arXiv:2511.15311},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Vision-Language",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "logit_adjusted_test_time_adaptation_unde",
    "full": "",
    "title": "Logit-Adjusted Test-Time Adaptation under Partial Class Imbalance",
    "authors": "Thilina Weerasinghe, Ruwan Tennakoon, WeiQin Chuah, Alireza Bab-Hadiashar",
    "venue": "WACV 2026",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/WACV2026/html/Weerasinghe_Logit-Adjusted_Test-Time_Adaptation_under_Partial_Class_Imbalance_WACV_2026_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/WACV2026/papers/Weerasinghe_Logit-Adjusted_Test-Time_Adaptation_under_Partial_Class_Imbalance_WACV_2026_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{weerasinghe2026logit,\n  title={Logit-Adjusted Test-Time Adaptation under Partial Class Imbalance},\n  author={Weerasinghe, Thilina and Tennakoon, Ruwan and Chuah, WeiQin and Bab-Hadiashar, Alireza},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Label-Shift"
    ]
  },
  {
    "slug": "ln_tta_revisiting_layer_normalization_fo",
    "full": "LN-TTA",
    "title": "Revisiting Layer Normalization for Point Cloud Test Time Adaptation",
    "authors": "Moslem Yazdanpanah, Ali Bahri, Mehrdad Noori, Sahar Dastani, Samuel Barbeau, David Osowiechi, Gustavo Vargas Hakim, Ismail Ben Ayed, Christian Desrosiers",
    "venue": "WACV 2026",
    "task": "Classification",
    "url": "https://wacv.thecvf.com/virtual/2026/poster/422",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{yazdanpanah2026revisiting,\n  title={Revisiting Layer Normalization for Point Cloud Test Time Adaptation},\n  author={Yazdanpanah, Moslem and Bahri, Ali and Noori, Mehrdad and Dastani, Sahar and Barbeau, Samuel and Osowiechi, David and Hakim, Gustavo Vargas and Ben Ayed, Ismail and Desrosiers, Christian},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud"
    ]
  },
  {
    "slug": "highlight_tta_test_time_adaptation_for_v",
    "full": "Highlight-TTA",
    "title": "Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations",
    "authors": "Zahidul Islam, Sujoy Paul, Mrigank Rochan",
    "venue": "WACV 2026",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/WACV2026/papers/Islam_Test-Time_Adaptation_for_Video_Highlight_Detection_Using_Meta-Auxiliary_Learning_and_WACV_2026_paper.pdf",
    "pdf": "https://openaccess.thecvf.com/content/WACV2026/papers/Islam_Test-Time_Adaptation_for_Video_Highlight_Detection_Using_Meta-Auxiliary_Learning_and_WACV_2026_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{islam2026testtime,\n  title={Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations},\n  author={Islam, Zahidul and Paul, Sujoy and Rochan, Mrigank},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Activity Recognition",
    "tags": [
      "Multimodal",
      "Video"
    ]
  },
  {
    "slug": "test_time_adaptation_through_semanticall",
    "full": "SemFD-TTA",
    "title": "Test-Time Adaptation through Semantically-guided Feature Decomposition for Few-shot Chest X-ray Diagnosis",
    "authors": "Jayant Mahawar, Angshuman Paul",
    "venue": "WACV 2026",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/WACV2026/papers/Mahawar_Test-Time_Adaptation_through_Semantically-guided_Feature_Decomposition_for_Few-shot_Chest_X-ray_WACV_2026_paper.pdf",
    "pdf": "https://openaccess.thecvf.com/content/WACV2026/papers/Mahawar_Test-Time_Adaptation_through_Semantically-guided_Feature_Decomposition_for_Few-shot_Chest_X-ray_WACV_2026_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{mahawar2026testtime,\n  title={Test-Time Adaptation through Semantically-guided Feature Decomposition for Few-shot Chest X-ray Diagnosis},\n  author={Mahawar, Jayant and Paul, Angshuman},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Medical Image Classification",
    "tags": [
      "Image",
      "Medical"
    ]
  },
  {
    "slug": "tata_training_free_test_time_adaptation_",
    "full": "TaTa",
    "title": "Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models",
    "authors": "Yi Zhang, Chun-Wun Cheng, Angelica I. Aviles-Rivero, Zhihai He, Liang-Jie Zhang",
    "venue": "ICASSP 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2601.23253",
    "pdf": "https://arxiv.org/pdf/2601.23253",
    "code": "",
    "bibtex": "@inproceedings{zhang2026training,\n  title={Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models},\n  author={Zhang, Yi and Cheng, Chun-Wun and Aviles-Rivero, Angelica I. and He, Zhihai and Zhang, Liang-Jie},\n  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Gradient-free"
    ]
  },
  {
    "slug": "spegc_continual_test_time_adaptation_via",
    "full": "SPEGC",
    "title": "SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation",
    "authors": "Xiaogang Du, Jiawei Zhang, Tongfei Liu, Tao Lei, Yingbo Wang",
    "venue": "CVPR 2026",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2603.11492",
    "pdf": "https://arxiv.org/pdf/2603.11492",
    "code": "",
    "bibtex": "@inproceedings{du2026spegc,\n  title={SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation},\n  author={Du, Xiaogang and Zhang, Jiawei and Liu, Tongfei and Lei, Tao and Wang, Yingbo},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Graph",
      "Image",
      "Medical",
      "Vision-Language",
      "Continual"
    ]
  },
  {
    "slug": "a3_tta_adaptive_anchor_alignment_test_ti",
    "full": "A3-TTA",
    "title": "A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation",
    "authors": "Jianghao Wu, Xiangde Luo, Yubo Zhou, Lianming Wu, Guotai Wang, Shaoting Zhang",
    "venue": "IEEE TIP 2026",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2602.03292",
    "pdf": "https://arxiv.org/pdf/2602.03292",
    "code": "",
    "bibtex": "@article{wu2026a3tta,\n  title={A3-TTA: Adaptive Anchor Alignment Test-Time Adaptation for Image Segmentation},\n  author={Wu, Jianghao and Luo, Xiangde and Zhou, Yubo and Wu, Lianming and Wang, Guotai and Zhang, Shaoting},\n  journal={arXiv preprint arXiv:2602.03292},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "test_time_adaptation_for_tactile_vision_",
    "full": "",
    "title": "Test-Time Adaptation for Tactile-Vision-Language Models",
    "authors": "Chuyang Ye, Haoxian Jing, Qinting Jiang, Yixi Lin, Qiang Li, Xing Tang, Jingyan Jiang",
    "venue": "arXiv 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2602.15873",
    "pdf": "https://arxiv.org/pdf/2602.15873",
    "code": "",
    "bibtex": "@article{ye2026testtime,\n  title={Test-Time Adaptation for Tactile-Vision-Language Models},\n  author={Ye, Chuyang and Jing, Haoxian and Jiang, Qinting and Lin, Yixi and Li, Qiang and Tang, Xing and Jiang, Jingyan},\n  journal={arXiv preprint arXiv:2602.15873},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Tactile",
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "prototype_based_test_time_adaptation_of_",
    "full": "PTA",
    "title": "Prototype-Based Test-Time Adaptation of Vision-Language Models",
    "authors": "Zhaohong Huang, Yuxin Zhang, Wenjing Liu, Fei Chao, Rongrong Ji",
    "venue": "arXiv 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2604.21360",
    "pdf": "https://arxiv.org/pdf/2604.21360",
    "code": "",
    "bibtex": "@article{huang2026prototype,\n  title={Prototype-Based Test-Time Adaptation of Vision-Language Models},\n  author={Huang, Zhaohong and Zhang, Yuxin and Liu, Wenjing and Chao, Fei and Ji, Rongrong},\n  journal={arXiv preprint arXiv:2604.21360},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "prototta_prototype_guided_test_time_adap",
    "full": "ProtoTTA",
    "title": "ProtoTTA: Prototype-Guided Test-Time Adaptation",
    "authors": "Mohammad Mahdi Abootorabi, Parvin Mousavi, Purang Abolmaesumi, Evan Shelhamer",
    "venue": "arXiv 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2604.15494",
    "pdf": "https://arxiv.org/pdf/2604.15494",
    "code": "",
    "bibtex": "@article{abootorabi2026prototta,\n  title={ProtoTTA: Prototype-Guided Test-Time Adaptation},\n  author={Abootorabi, Mohammad Mahdi and Mousavi, Parvin and Abolmaesumi, Purang and Shelhamer, Evan},\n  journal={arXiv preprint arXiv:2604.15494},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "beta_adapting_in_the_dark_efficient_and_",
    "full": "BETA",
    "title": "Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models",
    "authors": "Yunbei Zhang, Shuaicheng Niu, Chengyi Cai, Feng Liu, Jihun Hamm",
    "venue": "arXiv 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2604.15609",
    "pdf": "https://arxiv.org/pdf/2604.15609",
    "code": "",
    "bibtex": "@article{zhang2026adapting,\n  title={Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models},\n  author={Zhang, Yunbei and Niu, Shuaicheng and Cai, Chengyi and Liu, Feng and Hamm, Jihun},\n  journal={arXiv preprint arXiv:2604.15609},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Black-box"
    ]
  },
  {
    "slug": "oatta_order_aware_test_time_adaptation_l",
    "full": "OATTA",
    "title": "Order-Aware Test-Time Adaptation: Leveraging Temporal Dynamics for Robust Streaming Inference",
    "authors": "Young Kyung Kim, Oded Schlesinger, Qiangqiang Wu, J. Mat\\'ias Di Martino, Guillermo Sapiro",
    "venue": "arXiv 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2601.21012",
    "pdf": "https://arxiv.org/pdf/2601.21012",
    "code": "",
    "bibtex": "@article{kim2026orderaware,\n  title={Order-Aware Test-Time Adaptation: Leveraging Temporal Dynamics for Robust Streaming Inference},\n  author={Kim, Young Kyung and Schlesinger, Oded and Wu, Qiangqiang and Di Martino, J. Mat\\'ias and Sapiro, Guillermo},\n  journal={arXiv preprint arXiv:2601.21012},\n  year={2026}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "gsdtta",
    "full": "GSDTTA",
    "title": "3D Test-time Adaptation via Graph Spectral Driven Point Shift",
    "authors": "Xin Wei, Qin Yang, Yijie Fang, Mingrui Zhu, Nannan Wang",
    "venue": "ICCV 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2507.18225",
    "pdf": "https://arxiv.org/pdf/2507.18225",
    "code": "",
    "bibtex": "@article{wei2025gsdtta,\n  title={3D Test-time Adaptation via Graph Spectral Driven Point Shift},\n  author={Wei, Xin and Yang, Qin and Fang, Yijie and Zhu, Mingrui and Wang, Nannan},\n  journal={arXiv preprint arXiv:2507.18225},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Graph",
      "Online"
    ]
  },
  {
    "slug": "pointmac",
    "full": "PointMAC",
    "title": "PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion",
    "authors": "Linlian Jiang, Rui Ma, Li Gu, Ziqiang Wang, Xinxin Zuo, Yang Wang",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=4xl00JWQ1z",
    "pdf": "https://openreview.net/pdf?id=4xl00JWQ1z",
    "code": "https://github.com/linlianjiang/pointmac",
    "bibtex": "@inproceedings{jiang2025pointmac,\n  title={PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion},\n  author={Jiang, Linlian and Ma, Rui and Gu, Li and Wang, Ziqiang and Zuo, Xinxin and Wang, Yang},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Single-image"
    ]
  },
  {
    "slug": "tta_grec",
    "full": "TTA-GREC",
    "title": "Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation",
    "authors": "Yating Liu, Xin Zheng, Yi Li, Yanqing Guo",
    "venue": "IJCAI 2025",
    "task": "Decision-Making",
    "url": "https://www.ijcai.org/proceedings/2025/510",
    "pdf": "https://www.ijcai.org/proceedings/2025/0510.pdf",
    "code": "",
    "bibtex": "@inproceedings{liu2025ttagrec,\n  title={Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation},\n  author={Liu, Yating and Zheng, Xin and Li, Yi and Guo, Yanqing},\n  booktitle={Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Recommendation",
    "tags": [
      "Graph",
      "Recommendation"
    ]
  },
  {
    "slug": "t2arec",
    "full": "T2ARec",
    "title": "Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation",
    "authors": "Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen",
    "venue": "RecSys 2025",
    "task": "Decision-Making",
    "url": "https://arxiv.org/abs/2504.01489",
    "pdf": "https://arxiv.org/pdf/2504.01489",
    "code": "",
    "bibtex": "@article{zhang2025t2arec,\n  title={Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation},\n  author={Zhang, Changshuo and Zhang, Xiao and Shi, Teng and Xu, Jun and Wen, Ji-Rong},\n  journal={arXiv preprint arXiv:2504.01489},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Recommendation",
    "tags": [
      "Recommendation",
      "Online"
    ]
  },
  {
    "slug": "t2ard",
    "full": "T2ARD",
    "title": "Cross-domain Rumor Detection via Test-Time Adaptation and Large Language Models",
    "authors": "Yuxia Gong, Shuguo Hu, Huaiwen Zhang",
    "venue": "EMNLP 2025",
    "task": "Classification",
    "url": "https://aclanthology.org/2025.emnlp-main.407/",
    "pdf": "https://aclanthology.org/2025.emnlp-main.407.pdf",
    "code": "",
    "bibtex": "@inproceedings{gong2025t2ard,\n  title={Cross-domain Rumor Detection via Test-Time Adaptation and Large Language Models},\n  author={Gong, Yuxia and Hu, Shuguo and Zhang, Huaiwen},\n  booktitle={Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)},\n  pages={8062--8077},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Tabular Classification",
    "tags": [
      "Tabular"
    ]
  },
  {
    "slug": "tune",
    "full": "TUNE",
    "title": "Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time",
    "authors": "Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan",
    "venue": "AAAI 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2511.07023",
    "pdf": "https://arxiv.org/pdf/2511.07023",
    "code": "",
    "bibtex": "@article{pan2025tune,\n  title={Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time},\n  author={Pan, Junjun and Liu, Yixin and Zhou, Chuan and Xiong, Fei and Liew, Alan Wee-Chung and Pan, Shirui},\n  journal={arXiv preprint arXiv:2511.07023},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "adakws",
    "full": "AdaKWS",
    "title": "AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation",
    "authors": "Yang Xiao, Tianyi Peng, Yanghao Zhou, Rohan Kumar Das",
    "venue": "INTERSPEECH 2025",
    "task": "Classification",
    "url": "https://www.isca-archive.org/interspeech_2025/xiao25b_interspeech.html",
    "pdf": "https://www.isca-archive.org/interspeech_2025/xiao25b_interspeech.pdf",
    "code": "",
    "bibtex": "@inproceedings{xiao2025adakws,\n  title={AdaKWS: Towards Robust Keyword Spotting with Test-Time Adaptation},\n  author={Xiao, Yang and Peng, Tianyi and Zhou, Yanghao and Das, Rohan Kumar},\n  booktitle={Proc. INTERSPEECH 2025},\n  pages={5408--5412},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Audio Classification",
    "tags": [
      "Audio",
      "Online"
    ]
  },
  {
    "slug": "slm_tta",
    "full": "SLM-TTA",
    "title": "SLM-TTA: A Framework for Test-Time Adaptation of Generative Spoken Language Models",
    "authors": "Yuan-Kuei Wu, Yang Liu, Yiteng Huang, Zhaojun Yang, Haibin Wu, Ruizhe Huang, Yi-Te Hsu, Shuyu Kong, Ming Sun, Florian Metze, Li Wan",
    "venue": "arXiv 2025",
    "task": "Sequence & Language",
    "url": "https://arxiv.org/abs/2512.24739",
    "pdf": "https://arxiv.org/pdf/2512.24739",
    "code": "",
    "bibtex": "@article{wu2025slmtta,\n  title={SLM-TTA: A Framework for Test-Time Adaptation of Generative Spoken Language Models},\n  author={Wu, Yuan-Kuei and Liu, Yang and Huang, Yiteng and Yang, Zhaojun and Wu, Haibin and Huang, Ruizhe and Hsu, Yi-Te and Kong, Shuyu and Sun, Ming and Metze, Florian and Wan, Li},\n  journal={arXiv preprint arXiv:2512.24739},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Speech Recognition",
    "tags": [
      "Speech"
    ]
  },
  {
    "slug": "neurottt",
    "full": "NeuroTTT",
    "title": "NeuroTTT: Bridging Pretraining-Downstream Task Misalignment in EEG Foundation Models via Test-Time Training",
    "authors": "Suli Wang, Yangshen Deng, Zhenghua Bao, Xinyu Zhan, Yiqun Duan",
    "venue": "arXiv 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2509.26301",
    "pdf": "https://arxiv.org/pdf/2509.26301",
    "code": "https://github.com/wsl2000/NeuroTTT",
    "bibtex": "@article{wang2025neurottt,\n  title={NeuroTTT: Bridging Pretraining-Downstream Task Misalignment in EEG Foundation Models via Test-Time Training},\n  author={Wang, Suli and Deng, Yangshen and Bao, Zhenghua and Zhan, Xinyu and Duan, Yiqun},\n  journal={arXiv preprint arXiv:2509.26301},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Time-Series Classification",
    "tags": [
      "EEG/Bio-signal",
      "Time-Series",
      "Single-image"
    ]
  },
  {
    "slug": "seeg_mdm_tent",
    "full": "sEEG-MDM-TENT",
    "title": "A Robust Multi-Scale Framework with Test-Time Adaptation for sEEG-Based Speech Decoding",
    "authors": "Suli Wang, Yangyang Li, Siqi Cai, Haizhou Li",
    "venue": "ICASSP 2026",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2509.24700",
    "pdf": "https://arxiv.org/pdf/2509.24700",
    "code": "https://github.com/lyyi599/MDM-TENT",
    "bibtex": "@article{wang2025seegmdmtent,\n  title={A Robust Multi-Scale Framework with Test-Time Adaptation for sEEG-Based Speech Decoding},\n  author={Wang, Suli and Li, Yangyang and Cai, Siqi and Li, Haizhou},\n  journal={arXiv preprint arXiv:2509.24700},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Time-Series Classification",
    "tags": [
      "EEG/Bio-signal",
      "Speech",
      "Time-Series",
      "Online"
    ]
  },
  {
    "slug": "hypertta",
    "full": "HyperTTA",
    "title": "HyperTTA: Test-Time Adaptation for Hyperspectral Image Classification under Distribution Shifts",
    "authors": "Xia Yue, Anfeng Liu, Ning Chen, Chenjia Huang, Hui Liu, Zhou Huang, Leyuan Fang",
    "venue": "arXiv 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2509.08436",
    "pdf": "https://arxiv.org/pdf/2509.08436",
    "code": "",
    "bibtex": "@article{yue2025hypertta,\n  title={HyperTTA: Test-Time Adaptation for Hyperspectral Image Classification under Distribution Shifts},\n  author={Yue, Xia and Liu, Anfeng and Chen, Ning and Huang, Chenjia and Liu, Hui and Huang, Zhou and Fang, Leyuan},\n  journal={arXiv preprint arXiv:2509.08436},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Remote Sensing",
    "tags": [
      "Remote-Sensing",
      "Online"
    ]
  },
  {
    "slug": "tegda",
    "full": "TEGDA",
    "title": "TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation",
    "authors": "Yubo Zhou, Jianghao Wu, Wenjun Liao, Shichuan Zhang, Shaoting Zhang, Guotai Wang",
    "venue": "MICCAI 2025",
    "task": "Segmentation",
    "url": "https://papers.miccai.org/miccai-2025/0906-Paper2263.html",
    "pdf": "https://papers.miccai.org/miccai-2025/paper/2263_paper.pdf",
    "code": "https://github.com/HiLab-git/TEGDA",
    "bibtex": "@inproceedings{zhou2025tegda,\n  title={TEGDA: Test-time Evaluation-Guided Dynamic Adaptation for Medical Image Segmentation},\n  author={Zhou, Yubo and Wu, Jianghao and Liao, Wenjun and Zhang, Shichuan and Zhang, Shaoting and Wang, Guotai},\n  booktitle={Medical Image Computing and Computer Assisted Intervention -- MICCAI 2025},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Medical",
      "Online"
    ]
  },
  {
    "slug": "muvi",
    "full": "MuVi",
    "title": "Single Image Test-Time Adaptation via Multi-View Co-Training",
    "authors": "Smriti Joshi, Richard Osuala, Lidia Garrucho, Kaisar Kushibar, Dimitri Kessler, Oliver Diaz, Karim Lekadir",
    "venue": "MICCAI 2025",
    "task": "Segmentation",
    "url": "https://papers.miccai.org/miccai-2025/0834-Paper2927.html",
    "pdf": "https://papers.miccai.org/miccai-2025/paper/2927_paper.pdf",
    "code": "https://github.com/smriti-joshi/muvi",
    "bibtex": "@inproceedings{joshi2025muvi,\n  title={Single Image Test-Time Adaptation via Multi-View Co-Training},\n  author={Joshi, Smriti and Osuala, Richard and Garrucho, Lidia and Kushibar, Kaisar and Kessler, Dimitri and Diaz, Oliver and Lekadir, Karim},\n  booktitle={Medical Image Computing and Computer Assisted Intervention -- MICCAI 2025},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Single-image"
    ]
  },
  {
    "slug": "moie",
    "full": "MoIE",
    "title": "Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation",
    "authors": "Dunyuan Xu, Yuchen Yuan, Donghao Zhou, Xikai Yang, Jinpeng Li, Pheng-Ann Heng",
    "venue": "MICCAI 2025",
    "task": "Segmentation",
    "url": "https://link.springer.com/chapter/10.1007/978-3-032-05325-1_48",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{xu2025moie,\n  title={Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation},\n  author={Xu, Dunyuan and Yuan, Yuchen and Zhou, Donghao and Yang, Xikai and Li, Jinpeng and Heng, Pheng-Ann},\n  booktitle={Medical Image Computing and Computer Assisted Intervention -- MICCAI 2025},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "fedctta",
    "full": "FedCTTA",
    "title": "FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning",
    "authors": "Rakibul Hasan Rajib, Md Akil Raihan Iftee, Mir Sazzat Hossain, A. K. M. Mahbubur Rahman, Sajib Mistry, M Ashraful Amin, Amin Ahsan Ali",
    "venue": "IJCNN 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2505.13643",
    "pdf": "https://arxiv.org/pdf/2505.13643",
    "code": "",
    "bibtex": "@inproceedings{rajib2025fedctta,\n  title={FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning},\n  author={Rajib, Rakibul Hasan and Iftee, Md Akil Raihan and Hossain, Mir Sazzat and Rahman, A. K. M. Mahbubur and Mistry, Sajib and Amin, M Ashraful and Ali, Amin Ahsan},\n  booktitle={International Joint Conference on Neural Networks (IJCNN)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Federated TTA",
    "tags": [
      "Image",
      "Continual",
      "Federated"
    ]
  },
  {
    "slug": "tta_feddg",
    "full": "TTA-FedDG",
    "title": "TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization",
    "authors": "Hao Liang, Xiaolin Zhang, Shilei Cao, Guowen Li, Jiahua Zheng",
    "venue": "AAAI 2025",
    "task": "Classification",
    "url": "https://ojs.aaai.org/index.php/AAAI/article/view/34053",
    "pdf": "https://shileicao.github.io/papers/ttafeddg.pdf",
    "code": "",
    "bibtex": "@inproceedings{liang2025ttafeddg,\n  title={TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization},\n  author={Liang, Hao and Zhang, Xiaolin and Cao, Shilei and Li, Guowen and Zheng, Jiahua},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Federated TTA",
    "tags": [
      "Image",
      "Federated"
    ]
  },
  {
    "slug": "apcotta",
    "full": "APCoTTA",
    "title": "APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds",
    "authors": "Yuan Gao, Shaobo Xia, Sheng Nie, Cheng Wang, Xiaohuan Xi, Bisheng Yang",
    "venue": "ISPRS JPRS 2026",
    "task": "Segmentation",
    "url": "https://arxiv.org/abs/2505.09971",
    "pdf": "https://arxiv.org/pdf/2505.09971",
    "code": "https://github.com/Gaoyuan2/APCoTTA",
    "bibtex": "@article{gao2025apcotta,\n  title={APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds},\n  author={Gao, Yuan and Xia, Shaobo and Nie, Sheng and Wang, Cheng and Xi, Xiaohuan and Yang, Bisheng},\n  journal={arXiv preprint arXiv:2505.09971},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Remote Sensing",
    "tags": [
      "3D/Point-Cloud",
      "Remote-Sensing",
      "Continual"
    ]
  },
  {
    "slug": "adapt_z",
    "full": "ADAPT-Z",
    "title": "Online Time Series Prediction Using Feature Adjustment",
    "authors": "Xiannan Huang, Shuhan Qiu, Jiayuan Du, Chao Yang",
    "venue": "ICLR 2026",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2509.03810",
    "pdf": "https://arxiv.org/pdf/2509.03810",
    "code": "https://github.com/xiannanhuang/ADAPT-Z",
    "bibtex": "@article{huang2025adaptz,\n  title={Online Time Series Prediction Using Feature Adjustment},\n  author={Huang, Xiannan and Qiu, Shuhan and Du, Jiayuan and Yang, Chao},\n  journal={arXiv preprint arXiv:2509.03810},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Time-Series Forecasting",
    "tags": [
      "Time-Series",
      "Online"
    ]
  },
  {
    "slug": "accup",
    "full": "ACCUP",
    "title": "Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation",
    "authors": "Peiliang Gong, Mohamed Ragab, Min Wu, Zhenghua Chen, Yongyi Su, Xiaoli Li, Daoqiang Zhang",
    "venue": "KDD 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2501.01472",
    "pdf": "https://arxiv.org/pdf/2501.01472",
    "code": "",
    "bibtex": "@inproceedings{gong2025accup,\n  title={Augmented Contrastive Clustering with Uncertainty-Aware Prototyping for Time Series Test Time Adaptation},\n  author={Gong, Peiliang and Ragab, Mohamed and Wu, Min and Chen, Zhenghua and Su, Yongyi and Li, Xiaoli and Zhang, Daoqiang},\n  booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Time-Series Classification",
    "tags": [
      "Time-Series",
      "Online"
    ]
  },
  {
    "slug": "smart_pc",
    "full": "SMART-PC",
    "title": "SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds",
    "authors": "Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Mehrdad Noori, Gustavo Adolfo Vargas Hakim, David Osowiechi, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/bahri25.html",
    "pdf": "https://proceedings.mlr.press/v267/bahri25/bahri25.pdf",
    "code": "",
    "bibtex": "@inproceedings{bahri2025smartpc,\n  title={{SMART}-{PC}: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds},\n  author={Bahri, Ali and Yazdanpanah, Moslem and Dastani, Sahar and Noori, Mehrdad and Vargas Hakim, Gustavo Adolfo and Osowiechi, David and Beizaee, Farzad and Ben Ayed, Ismail and Desrosiers, Christian},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={2442--2457},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Online"
    ]
  },
  {
    "slug": "ttsa",
    "full": "TTSA",
    "title": "Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data",
    "authors": "Mingcai Chen, Baoming Zhang, Zongbo Han, Wenyu Jiang, Yanmeng Wang, Shuai Feng, Yuntao Du, Bingkun Bao",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/chen25ch.html",
    "pdf": "https://proceedings.mlr.press/v267/chen25ch/chen25ch.pdf",
    "code": "",
    "bibtex": "@inproceedings{chen2025testtime,\n  title={Test-Time Selective Adaptation for Uni-Modal Distribution Shift in Multi-Modal Data},\n  author={Chen, Mingcai and Zhang, Baoming and Han, Zongbo and Jiang, Wenyu and Wang, Yanmeng and Feng, Shuai and Du, Yuntao and Bao, Bingkun},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={9711--9727},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Multimodal"
    ]
  },
  {
    "slug": "it3",
    "full": "IT3",
    "title": "IT3: Idempotent Test-Time Training",
    "authors": "Nikita Durasov, Assaf Shocher, Doruk Oner, Gal Chechik, Alexei A. Efros, Pascal Fua",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/durasov25.html",
    "pdf": "https://proceedings.mlr.press/v267/durasov25/durasov25.pdf",
    "code": "",
    "bibtex": "@inproceedings{durasov2025it3,\n  title={{IT}$^3$: Idempotent Test-Time Training},\n  author={Durasov, Nikita and Shocher, Assaf and Oner, Doruk and Chechik, Gal and Efros, Alexei A. and Fua, Pascal},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={14867--14883},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "rem",
    "full": "REM",
    "title": "Ranked Entropy Minimization for Continual Test-Time Adaptation",
    "authors": "Jisu Han, Jaemin Na, Wonjun Hwang",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/han25e.html",
    "pdf": "https://proceedings.mlr.press/v267/han25e/han25e.pdf",
    "code": "",
    "bibtex": "@inproceedings{han2025ranked,\n  title={Ranked Entropy Minimization for Continual Test-Time Adaptation},\n  author={Han, Jisu and Na, Jaemin and Hwang, Wonjun},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={21798--21813},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "recap",
    "full": "ReCAP",
    "title": "Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation",
    "authors": "Zixuan Hu, Yichun Hu, Xiaotong Li, Shixiang Tang, Lingyu Duan",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/hu25i.html",
    "pdf": "https://proceedings.mlr.press/v267/hu25i/hu25i.pdf",
    "code": "",
    "bibtex": "@inproceedings{hu2025beyond,\n  title={Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation},\n  author={Hu, Zixuan and Hu, Yichun and Li, Xiaotong and Tang, Shixiang and Duan, Lingyu},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={24371--24390},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "ttl",
    "full": "TTL",
    "title": "Test-Time Learning for Large Language Models",
    "authors": "Jinwu Hu, Zitian Zhang, Guohao Chen, Xutao Wen, Chao Shuai, Wei Luo, Bin Xiao, Yuanqing Li, Mingkui Tan",
    "venue": "ICML 2025",
    "task": "Sequence & Language",
    "url": "https://proceedings.mlr.press/v267/hu25z.html",
    "pdf": "https://proceedings.mlr.press/v267/hu25z/hu25z.pdf",
    "code": "",
    "bibtex": "@inproceedings{hu2025testtime,\n  title={Test-Time Learning for Large Language Models},\n  author={Hu, Jinwu and Zhang, Zitian and Chen, Guohao and Wen, Xutao and Shuai, Chao and Luo, Wei and Xiao, Bin and Li, Yuanqing and Tan, Mingkui},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={24823--24849},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Language Modeling",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "gs_bias",
    "full": "GS-Bias",
    "title": "GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models",
    "authors": "Zhaohong Huang, Yuxin Zhang, Jingjing Xie, Fei Chao, Rongrong Ji",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/huang25aw.html",
    "pdf": "https://proceedings.mlr.press/v267/huang25aw/huang25aw.pdf",
    "code": "",
    "bibtex": "@inproceedings{huang2025gsbias,\n  title={{GS}-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models},\n  author={Huang, Zhaohong and Zhang, Yuxin and Xie, Jingjing and Chao, Fei and Ji, Rongrong},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={26162--26174},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "feedtta",
    "full": "FeedTTA",
    "title": "Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning",
    "authors": "Sungjune Kim, Gyeongrok Oh, Heeju Ko, Daehyun Ji, Dongwook Lee, Byung-Jun Lee, Sujin Jang, Sangpil Kim",
    "venue": "ICML 2025",
    "task": "Decision-Making",
    "url": "https://proceedings.mlr.press/v267/kim25ad.html",
    "pdf": "https://proceedings.mlr.press/v267/kim25ad/kim25ad.pdf",
    "code": "",
    "bibtex": "@inproceedings{kim2025testtime,\n  title={Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning},\n  author={Kim, Sungjune and Oh, Gyeongrok and Ko, Heeju and Ji, Daehyun and Lee, Dongwook and Lee, Byung-Jun and Jang, Sujin and Kim, Sangpil},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={30654--30671},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Reinforcement Learning",
    "tags": [
      "Vision-Language",
      "Online"
    ]
  },
  {
    "slug": "bessa",
    "full": "BESSA",
    "title": "Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments",
    "authors": "Jae-Hong Lee",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/lee25b.html",
    "pdf": "https://proceedings.mlr.press/v267/lee25b/lee25b.pdf",
    "code": "",
    "bibtex": "@inproceedings{lee2025bayesian,\n  title={Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments},\n  author={Lee, Jae-Hong},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={32889--32906},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "ptta",
    "full": "PTTA",
    "title": "PTTA: Purifying Malicious Samples for Test-Time Model Adaptation",
    "authors": "Jing Ma, Hanlin Li, Xiang Xiang",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/ma25m.html",
    "pdf": "https://proceedings.mlr.press/v267/ma25m/ma25m.pdf",
    "code": "https://github.com/HAIV-Lab/PTTA",
    "bibtex": "@inproceedings{ma2025ptta,\n  title={{PTTA}: Purifying Malicious Samples for Test-Time Model Adaptation},\n  author={Ma, Jing and Li, Hanlin and Xiang, Xiang},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={42030--42061},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Adversarial"
    ]
  },
  {
    "slug": "drug_tta",
    "full": "Drug-TTA",
    "title": "Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning",
    "authors": "Ao Shen, Mingzhi Yuan, Yingfan Ma, Jie Du, Qiao Huang, Manning Wang",
    "venue": "ICML 2025",
    "task": "Regression",
    "url": "https://proceedings.mlr.press/v267/shen25n.html",
    "pdf": "https://proceedings.mlr.press/v267/shen25n/shen25n.pdf",
    "code": "",
    "bibtex": "@inproceedings{shen2025drugtta,\n  title={Drug-{TTA}: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning},\n  author={Shen, Ao and Yuan, Mingzhi and Ma, Yingfan and Du, Jie and Huang, Qiao and Wang, Manning},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={54644--54662},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Molecular Property Prediction",
    "tags": [
      "Molecular",
      "Single-image"
    ]
  },
  {
    "slug": "tt_rl",
    "full": "TT-RL",
    "title": "Test-time Adapted Reinforcement Learning with Action Entropy Regularization",
    "authors": "Shoukai Xu, Zihao Lian, Mingkui Tan, Liu Liu, Zhong Zhang, Peilin Zhao",
    "venue": "ICML 2025",
    "task": "Decision-Making",
    "url": "https://proceedings.mlr.press/v267/xu25ar.html",
    "pdf": "https://proceedings.mlr.press/v267/xu25ar/xu25ar.pdf",
    "code": "",
    "bibtex": "@inproceedings{xu2025testtime,\n  title={Test-time Adapted Reinforcement Learning with Action Entropy Regularization},\n  author={Xu, Shoukai and Lian, Zihao and Tan, Mingkui and Liu, Liu and Zhang, Zhong and Zhao, Peilin},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={70020--70031},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Reinforcement Learning",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "wmi",
    "full": "WMI",
    "title": "World Model Implanting for Test-time Adaptation of Embodied Agents",
    "authors": "Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo",
    "venue": "ICML 2025",
    "task": "Decision-Making",
    "url": "https://proceedings.mlr.press/v267/yoo25a.html",
    "pdf": "https://proceedings.mlr.press/v267/yoo25a/yoo25a.pdf",
    "code": "",
    "bibtex": "@inproceedings{yoo2025world,\n  title={World Model Implanting for Test-time Adaptation of Embodied Agents},\n  author={Yoo, Minjong and Jang, Jinwoo and Yoon, Sihyung and Woo, Honguk},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={72556--72573},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Reinforcement Learning",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "tca",
    "full": "TCA",
    "title": "Test-time Correlation Alignment",
    "authors": "Linjing You, Jiabao Lu, Xiayuan Huang",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/you25c.html",
    "pdf": "https://proceedings.mlr.press/v267/you25c/you25c.pdf",
    "code": "",
    "bibtex": "@inproceedings{you2025testtime,\n  title={Test-time Correlation Alignment},\n  author={You, Linjing and Lu, Jiabao and Huang, Xiayuan},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={72700--72729},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "adasea",
    "full": "AdaSEA",
    "title": "Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes",
    "authors": "Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/zhao25ai.html",
    "pdf": "https://proceedings.mlr.press/v267/zhao25ai/zhao25ai.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhao2025testtime,\n  title={Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes},\n  author={Zhao, Yusheng and Zhang, Qixin and Luo, Xiao and Luo, Junyu and Ju, Wei and Xiao, Zhiping and Zhang, Ming},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={78003--78022},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "pgnds",
    "full": "PGNDS",
    "title": "Test-Time Graph Neural Dataset Search With Generative Projection",
    "authors": "Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan",
    "venue": "ICML 2025",
    "task": "Classification",
    "url": "https://proceedings.mlr.press/v267/zheng25f.html",
    "pdf": "https://proceedings.mlr.press/v267/zheng25f/zheng25f.pdf",
    "code": "",
    "bibtex": "@inproceedings{zheng2025testtime,\n  title={Test-Time Graph Neural Dataset Search With Generative Projection},\n  author={Zheng, Xin and Huang, Wei and Zhou, Chuan and Li, Ming and Pan, Shirui},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={78156--78169},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "ttt_fewshot",
    "full": "TTT-FewShot",
    "title": "The Surprising Effectiveness of Test-Time Training for Few-Shot Learning",
    "authors": "Ekin Akyurek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas",
    "venue": "ICML 2025",
    "task": "Sequence & Language",
    "url": "https://proceedings.mlr.press/v267/akyurek25.html",
    "pdf": "https://proceedings.mlr.press/v267/akyurek25/akyurek25.pdf",
    "code": "",
    "bibtex": "@inproceedings{akyurek2025surprising,\n  title={The Surprising Effectiveness of Test-Time Training for Few-Shot Learning},\n  author={Aky{\\\"u}rek, Ekin and Damani, Mehul and Zweiger, Adam and Qiu, Linlu and Guo, Han and Pari, Jyothish and Kim, Yoon and Andreas, Jacob},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={942--963},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Reasoning and QA",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "ttt_icl",
    "full": "TTT-ICL",
    "title": "Test-Time Training Provably Improves Transformers as In-context Learners",
    "authors": "Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli, Samet Oymak",
    "venue": "ICML 2025",
    "task": "Theory",
    "url": "https://proceedings.mlr.press/v267/gozeten25.html",
    "pdf": "https://proceedings.mlr.press/v267/gozeten25/gozeten25.pdf",
    "code": "",
    "bibtex": "@inproceedings{gozeten2025testtime,\n  title={Test-Time Training Provably Improves Transformers as In-context Learners},\n  author={Gozeten, Halil Alperen and Ildiz, Muhammed Emrullah and Zhang, Xuechen and Soltanolkotabi, Mahdi and Mondelli, Marco and Oymak, Samet},\n  booktitle={Proceedings of the 42nd International Conference on Machine Learning},\n  pages={20266--20295},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Language Modeling",
    "tags": [
      "Text/Document"
    ]
  },
  {
    "slug": "ssg",
    "full": "SSG",
    "title": "Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models",
    "authors": "Shenglong Zhou, Manjiang Yin, Leiyu Sun, Shicai Yang, Di Xie, Jiang Zhu",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=OF7OLxvY0t",
    "pdf": "https://openreview.net/pdf?id=OF7OLxvY0t",
    "code": "",
    "bibtex": "@inproceedings{zhou2025trainingfree,\n  title={Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models},\n  author={Zhou, Shenglong and Yin, Manjiang and Sun, Leiyu and Yang, Shicai and Xie, Di and Zhu, Jiang},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Gradient-free"
    ]
  },
  {
    "slug": "dota",
    "full": "DOTA",
    "title": "DOTA: Distributional Test-time Adaptation of Vision-Language Models",
    "authors": "Zongbo Han, Jialong Yang, Guangyu Wang, Junfan Li, Qianli Xu, Mike Zheng Shou, Changqing Zhang",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=2T6QXSP8Cf",
    "pdf": "https://openreview.net/pdf?id=2T6QXSP8Cf",
    "code": "",
    "bibtex": "@inproceedings{han2025dota,\n  title={{DOTA}: Distributional Test-time Adaptation of Vision-Language Models},\n  author={Han, Zongbo and Yang, Jialong and Wang, Guangyu and Li, Junfan and Xu, Qianli and Shou, Mike Zheng and Zhang, Changqing},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "cliptta",
    "full": "CLIPTTA",
    "title": "CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation",
    "authors": "Marc Lafon, Gustavo Vargas Hakim, Clement Rambour, Christian Desrosiers, Nicolas Thome",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=w9gEF4Iwtx",
    "pdf": "https://openreview.net/pdf?id=w9gEF4Iwtx",
    "code": "",
    "bibtex": "@inproceedings{lafon2025cliptta,\n  title={{CLIPTTA}: Robust Contrastive Vision-Language Test-Time Adaptation},\n  author={Lafon, Marc and Vargas Hakim, Gustavo and Rambour, Cl{\\'e}ment and Desrosiers, Christian and Thome, Nicolas},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online"
    ]
  },
  {
    "slug": "retta",
    "full": "ReTTA",
    "title": "Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality",
    "authors": "Mincheol Park, Heeji Won, Won Woo Ro, Suhyun Kim",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=BKYFAutCDZ",
    "pdf": "https://openreview.net/pdf?id=BKYFAutCDZ",
    "code": "",
    "bibtex": "@inproceedings{park2025rethinking,\n  title={Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality},\n  author={Park, Mincheol and Won, Heeji and Ro, Won Woo and Kim, Suhyun},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "Spotlight",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "adapt",
    "full": "ADAPT",
    "title": "Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment",
    "authors": "Youjia Zhang, Youngeun Kim, Young-Geun Choi, Hongyeob Kim, Huiling Liu, Sungeun Hong",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=rYv42fDKQi",
    "pdf": "https://openreview.net/pdf?id=rYv42fDKQi",
    "code": "",
    "bibtex": "@inproceedings{zhang2025backpropagationfree,\n  title={Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment},\n  author={Zhang, Youjia and Kim, Youngeun and Choi, Young-Geun and Kim, Hongyeob and Liu, Huiling and Hong, Sungeun},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "buffertta",
    "full": "BufferTTA",
    "title": "Buffer layers for Test-Time Adaptation",
    "authors": "Hyeongyu Kim, GeonHui Han, Dosik Hwang",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=sSZ9OM08KT",
    "pdf": "https://openreview.net/pdf?id=sSZ9OM08KT",
    "code": "",
    "bibtex": "@inproceedings{kim2025buffer,\n  title={Buffer layers for Test-Time Adaptation},\n  author={Kim, Hyeongyu and Han, GeonHui and Hwang, Dosik},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "rm_tta",
    "full": "RM-TTA",
    "title": "Monitoring Risks in Test-Time Adaptation",
    "authors": "Mona Schirmer, Metod Jazbec, Christian Andersson Naesseth, Eric Nalisnick",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=TzHX2RWUdE",
    "pdf": "https://openreview.net/pdf?id=TzHX2RWUdE",
    "code": "",
    "bibtex": "@inproceedings{schirmer2025monitoring,\n  title={Monitoring Risks in Test-Time Adaptation},\n  author={Schirmer, Mona and Jazbec, Metod and Naesseth, Christian Andersson and Nalisnick, Eric},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "mlmp",
    "full": "MLMP",
    "title": "Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation",
    "authors": "Mehrdad Noori, David Osowiechi, Gustavo Vargas Hakim, Ali Bahri, Moslem Yazdanpanah, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers",
    "venue": "NeurIPS 2025",
    "task": "Segmentation",
    "url": "https://openreview.net/forum?id=CH76rSKWZr",
    "pdf": "https://openreview.net/pdf?id=CH76rSKWZr",
    "code": "",
    "bibtex": "@inproceedings{noori2025testtime,\n  title={Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation},\n  author={Noori, Mehrdad and Osowiechi, David and Vargas Hakim, Gustavo and Bahri, Ali and Yazdanpanah, Moslem and Dastani, Sahar and Beizaee, Farzad and Ben Ayed, Ismail and Desrosiers, Christian},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Vision-Language"
    ]
  },
  {
    "slug": "sca",
    "full": "SCA",
    "title": "Statistics Caching Test-Time Adaptation for Vision-Language Models",
    "authors": "Zenghao Guan, Yucan Zhou, Wu Liu, Xiaoyan Gu",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=iqsjzVqmWF",
    "pdf": "https://openreview.net/pdf?id=iqsjzVqmWF",
    "code": "",
    "bibtex": "@inproceedings{guan2025statistics,\n  title={Statistics Caching Test-Time Adaptation for Vision-Language Models},\n  author={Guan, Zenghao and Zhou, Yucan and Liu, Wu and Gu, Xiaoyan},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "mint",
    "full": "Mint",
    "title": "Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions",
    "authors": "Wenxuan Bao, Ruxi Deng, Jingrui He",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=yJpBVE4vfo",
    "pdf": "https://openreview.net/pdf?id=yJpBVE4vfo",
    "code": "",
    "bibtex": "@inproceedings{bao2025mint,\n  title={Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions},\n  author={Bao, Wenxuan and Deng, Ruxi and He, Jingrui},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online"
    ]
  },
  {
    "slug": "lcotta",
    "full": "LCoTTA",
    "title": "Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace",
    "authors": "Dexin Duan, Rui Xu, Peilin Liu, Fei Wen",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=NFvAa2hNzH",
    "pdf": "https://openreview.net/pdf?id=NFvAa2hNzH",
    "code": "",
    "bibtex": "@inproceedings{duan2025lifelong,\n  title={Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace},\n  author={Duan, Dexin and Xu, Rui and Liu, Peilin and Wen, Fei},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "tact",
    "full": "TACT",
    "title": "Test-Time Adaptation by Causal Trimming",
    "authors": "Yingnan Liu, Rui Qiao, Mong-Li Lee, Wynne Hsu",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=zFGdHL9pcD",
    "pdf": "https://openreview.net/pdf?id=zFGdHL9pcD",
    "code": "https://github.com/NancyQuris/TACT",
    "bibtex": "@inproceedings{liu2025testtime,\n  title={Test-Time Adaptation by Causal Trimming},\n  author={Liu, Yingnan and Qiao, Rui and Lee, Mong-Li and Hsu, Wynne},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "timemask_tta",
    "full": "TimeMask-TTA",
    "title": "Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding",
    "authors": "Ebrahim Feghhi, Shreyas Kaasyap, Nima Hadidi, Jonathan Kao",
    "venue": "NeurIPS 2025",
    "task": "Sequence & Language",
    "url": "https://openreview.net/forum?id=0U7D9AFiZ0",
    "pdf": "https://openreview.net/pdf?id=0U7D9AFiZ0",
    "code": "",
    "bibtex": "@inproceedings{feghhi2025timemasked,\n  title={Time-Masked Transformers with Lightweight Test-Time Adaptation for Neural Speech Decoding},\n  author={Feghhi, Ebrahim and Kaasyap, Shreyas and Hadidi, Nima and Kao, Jonathan},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Speech Recognition",
    "tags": [
      "EEG/Bio-signal",
      "Speech",
      "Online"
    ]
  },
  {
    "slug": "open_irt",
    "full": "Open-IRT",
    "title": "OOD-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models",
    "authors": "Boyang Peng, Sanqing Qu, Tianpei Zou, Fan Lu, Ya Wu, Kai Chen, Siheng Chen, Yong Wu, Guang Chen",
    "venue": "NeurIPS 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=GUPx2otaKL",
    "pdf": "https://openreview.net/pdf?id=GUPx2otaKL",
    "code": "",
    "bibtex": "@inproceedings{peng2025oodbarrier,\n  title={{OOD}-Barrier: Build a Middle-Barrier for Open-Set Single-Image Test Time Adaptation via Vision Language Models},\n  author={Peng, Boyang and Qu, Sanqing and Zou, Tianpei and Lu, Fan and Wu, Ya and Chen, Kai and Chen, Siheng and Wu, Yong and Chen, Guang},\n  booktitle={Advances in Neural Information Processing Systems},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "OOD Detection",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Open-set"
    ]
  },
  {
    "slug": "ra_tta",
    "full": "RA-TTA",
    "title": "RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models",
    "authors": "Youngjun Lee, Doyoung Kim, Junhyeok Kang, Jihwan Bang, Hwanjun Song, Jae-Gil Lee",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=V3zobHnS61",
    "pdf": "https://openreview.net/pdf?id=V3zobHnS61",
    "code": "",
    "bibtex": "@inproceedings{lee2025ratta,\n  title={{RA}-{TTA}: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models},\n  author={Lee, Youngjun and Kim, Doyoung and Kang, Junhyeok and Bang, Jihwan and Song, Hwanjun and Lee, Jae-Gil},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Gradient-free"
    ]
  },
  {
    "slug": "adand",
    "full": "AdaND",
    "title": "Noisy Test-Time Adaptation in Vision-Language Models",
    "authors": "Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=iylpeTI0Ql",
    "pdf": "https://openreview.net/pdf?id=iylpeTI0Ql",
    "code": "",
    "bibtex": "@inproceedings{cao2025noisy,\n  title={Noisy Test-Time Adaptation in Vision-Language Models},\n  author={Cao, Chentao and Zhong, Zhun and Zhou, Zhanke and Liu, Tongliang and Liu, Yang and Zhang, Kun and Han, Bo},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online",
      "Open-set"
    ]
  },
  {
    "slug": "tta_ic",
    "full": "TTA-IC",
    "title": "Test-time Adaptation for Image Compression with Distribution Regularization",
    "authors": "Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan, Haoliang Li",
    "venue": "ICLR 2025",
    "task": "Restoration",
    "url": "https://openreview.net/forum?id=bsnRUkVn63",
    "pdf": "https://openreview.net/pdf?id=bsnRUkVn63",
    "code": "",
    "bibtex": "@inproceedings{chen2025testtime,\n  title={Test-time Adaptation for Image Compression with Distribution Regularization},\n  author={Chen, Kecheng and Zhang, Pingping and Qin, Tiexin and Wang, Shiqi and Yan, Hong and Li, Haoliang},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Restoration",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "tcr",
    "full": "TCR",
    "title": "Test-time Adaptation for Cross-modal Retrieval with Query Shift",
    "authors": "Haobin Li, Peng Hu, Qianjun Zhang, Xi Peng, Xiting Liu, Mouxing Yang",
    "venue": "ICLR 2025",
    "task": "Retrieval & Ranking",
    "url": "https://openreview.net/forum?id=BmG88rONaU",
    "pdf": "https://openreview.net/pdf?id=BmG88rONaU",
    "code": "",
    "bibtex": "@inproceedings{li2025testtime,\n  title={Test-time Adaptation for Cross-modal Retrieval with Query Shift},\n  author={Li, Haobin and Hu, Peng and Zhang, Qianjun and Peng, Xi and Liu, Xiting and Yang, Mouxing},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Cross-Modal Retrieval",
    "tags": [
      "Multimodal",
      "Online"
    ]
  },
  {
    "slug": "aea",
    "full": "AEA",
    "title": "Adaptive Energy Alignment for Accelerating Test-Time Adaptation",
    "authors": "Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, Jungmoon Lee, Younghyun Park, Dong-Jun Han, Jaekyun Moon",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=sEMJ1PLSZR",
    "pdf": "https://openreview.net/pdf?id=sEMJ1PLSZR",
    "code": "",
    "bibtex": "@inproceedings{choi2025adaptive,\n  title={Adaptive Energy Alignment for Accelerating Test-Time Adaptation},\n  author={Choi, Wonjeong and Kim, Do-Yeon and Park, Jungwuk and Lee, Jungmoon and Park, Younghyun and Han, Dong-Jun and Moon, Jaekyun},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "ml_tta",
    "full": "ML-TTA",
    "title": "Multi-Label Test-Time Adaptation with Bound Entropy Minimization",
    "authors": "Xiangyu Wu, Feng Yu, Yang Yang, Qing-Guo Chen, Jianfeng Lu",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=75PhjtbBdr",
    "pdf": "https://openreview.net/pdf?id=75PhjtbBdr",
    "code": "https://github.com/Jinx630/ML-TTA",
    "bibtex": "@inproceedings{wu2025multilabel,\n  title={Multi-Label Test-Time Adaptation with Bound Entropy Minimization},\n  author={Wu, Xiangyu and Yu, Feng and Yang, Yang and Chen, Qing-Guo and Lu, Jianfeng},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online"
    ]
  },
  {
    "slug": "aeo",
    "full": "AEO",
    "title": "Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization",
    "authors": "Hao Dong, Eleni Chatzi, Olga Fink",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=hj323oR3rw",
    "pdf": "https://openreview.net/pdf?id=hj323oR3rw",
    "code": "",
    "bibtex": "@inproceedings{dong2025towards,\n  title={Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization},\n  author={Dong, Hao and Chatzi, Eleni and Fink, Olga},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Activity Recognition",
    "tags": [
      "Multimodal",
      "Video",
      "Open-set",
      "Continual"
    ]
  },
  {
    "slug": "arc",
    "full": "ARC",
    "title": "Adaptive Retention & Correction: Test-Time Training for Continual Learning",
    "authors": "Haoran Chen, Micah Goldblum, Zuxuan Wu, Yu-Gang Jiang",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=9bLdbp46Q1",
    "pdf": "https://openreview.net/pdf?id=9bLdbp46Q1",
    "code": "",
    "bibtex": "@inproceedings{chen2025adaptive,\n  title={Adaptive Retention \\& Correction: Test-Time Training for Continual Learning},\n  author={Chen, Haoran and Goldblum, Micah and Wu, Zuxuan and Jiang, Yu-Gang},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "midl",
    "full": "MiDl",
    "title": "Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos",
    "authors": "Merey Ramazanova, Alejandro Pardo, Bernard Ghanem, Motasem Alfarra",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=1L52bHEL5d",
    "pdf": "https://openreview.net/pdf?id=1L52bHEL5d",
    "code": "",
    "bibtex": "@inproceedings{ramazanova2025testtime,\n  title={Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos},\n  author={Ramazanova, Merey and Pardo, Alejandro and Ghanem, Bernard and Alfarra, Motasem},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Activity Recognition",
    "tags": [
      "Video",
      "Online"
    ]
  },
  {
    "slug": "sumi",
    "full": "SuMi",
    "title": "Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises",
    "authors": "Zirun Guo, Tao Jin",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=rObkvzJxTG",
    "pdf": "https://openreview.net/pdf?id=rObkvzJxTG",
    "code": "https://github.com/zrguo/SuMi",
    "bibtex": "@inproceedings{guo2025smoothing,\n  title={Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises},\n  author={Guo, Zirun and Jin, Tao},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Activity Recognition",
    "tags": [
      "Multimodal",
      "Video",
      "Online"
    ]
  },
  {
    "slug": "tt_greb",
    "full": "TT-GREB",
    "title": "Test-Time Graph Rebirth: Serving GNN Generalization Under Distribution Shifts",
    "authors": "Xin Zheng, Yu Zheng, Qin Zhang, Haishuai Wang, Yuxuan Liang, Alan Wee-Chung Liew, Shirui Pan",
    "venue": "ICLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=rW3NVhKtQ2",
    "pdf": "https://openreview.net/pdf?id=rW3NVhKtQ2",
    "code": "",
    "bibtex": "@inproceedings{zheng2025testtime,\n  title={Test-Time Graph Rebirth: Serving {GNN} Generalization Under Distribution Shifts},\n  author={Zheng, Xin and Zheng, Yu and Zhang, Qin and Wang, Haishuai and Liang, Yuxuan and Liew, Alan Wee-Chung and Pan, Shirui},\n  booktitle={International Conference on Learning Representations},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Node Classification",
    "tags": [
      "Graph"
    ]
  },
  {
    "slug": "tta_sbat",
    "full": "TTA-SBAT",
    "title": "Test-Time Adaptation with Source Based Auxiliary Tasks",
    "authors": "Motasem Alfarra, Alvaro Correia, Bernard Ghanem, Christos Louizos",
    "venue": "TMLR 2025",
    "task": "Classification",
    "url": "https://openreview.net/forum?id=XWAXcxNg4n",
    "pdf": "https://openreview.net/pdf?id=XWAXcxNg4n",
    "code": "",
    "bibtex": "@article{alfarra2025testtime,\n  title={Test-Time Adaptation with Source Based Auxiliary Tasks},\n  author={Alfarra, Motasem and Correia, Alvaro and Ghanem, Bernard and Louizos, Christos},\n  journal={Transactions on Machine Learning Research},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "cotga",
    "full": "CoTGA",
    "title": "Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation",
    "authors": "Qi Fan, Mattia Segu, Bernt Schiele, Dengxin Dai, Yu-Wing Tai, Chi-Keung Tang",
    "venue": "IJCV 2025",
    "task": "Detection",
    "url": "https://doi.org/10.1007/s11263-025-02465-9",
    "pdf": "",
    "code": "",
    "bibtex": "@article{fan2025robust,\n  title={Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation},\n  author={Fan, Qi and Segu, Mattia and Schiele, Bernt and Dai, Dengxin and Tai, Yu-Wing and Tang, Chi-Keung},\n  journal={International Journal of Computer Vision},\n  volume={133},\n  pages={6768--6793},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Object Detection",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "csn",
    "full": "CSN",
    "title": "Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks",
    "authors": "Shuang Cui, Yi Li, Jiangmeng Li, Xiongxin Tang, Bing Su, Fanjiang Xu, Hui Xiong",
    "venue": "IJCV 2025",
    "task": "Restoration",
    "url": "https://doi.org/10.1007/s11263-025-02363-0",
    "pdf": "",
    "code": "",
    "bibtex": "@article{cui2025continual,\n  title={Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks},\n  author={Cui, Shuang and Li, Yi and Li, Jiangmeng and Tang, Xiongxin and Su, Bing and Xu, Fanjiang and Xiong, Hui},\n  journal={International Journal of Computer Vision},\n  volume={133},\n  pages={4134--4157},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Restoration",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "detta",
    "full": "DETTA",
    "title": "Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation",
    "authors": "Chun-Mei Feng, Yuanyang He, Jian Zou, Salman Khan, Huan Xiong, Zhen Li, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu",
    "venue": "IJCV 2025",
    "task": "Classification",
    "url": "https://doi.org/10.1007/s11263-025-02412-8",
    "pdf": "",
    "code": "",
    "bibtex": "@article{feng2025diffusion,\n  title={Diffusion-Enhanced Test-Time Adaptation with Text and Image Augmentation},\n  author={Feng, Chun-Mei and He, Yuanyang and Zou, Jian and Khan, Salman and Xiong, Huan and Li, Zhen and Zuo, Wangmeng and Goh, Rick Siow Mong and Liu, Yong},\n  journal={International Journal of Computer Vision},\n  volume={133},\n  pages={5083--5098},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "cat_tpt",
    "full": "CAT-TPT",
    "title": "CAT-TPT: Class-Agnostic Text-based Test-time Prompt Tuning for Vision-Language Models",
    "authors": "Youjia Zhang, Huiling Liu, Youngeun Kim, Sungeun Hong",
    "venue": "IJCV 2025",
    "task": "Classification",
    "url": "https://doi.org/10.1007/s11263-025-02508-1",
    "pdf": "",
    "code": "",
    "bibtex": "@article{zhang2025cattpt,\n  title={{CAT}-{TPT}: Class-Agnostic Text-based Test-time Prompt Tuning for Vision-Language Models},\n  author={Zhang, Youjia and Liu, Huiling and Kim, Youngeun and Hong, Sungeun},\n  journal={International Journal of Computer Vision},\n  volume={133},\n  pages={6930--6952},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "freetta",
    "full": "FreeTTA",
    "title": "Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EM",
    "authors": "Qiyuan Dai, Sibei Yang",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Dai_Free_on_the_Fly_Enhancing_Flexibility_in_Test-Time_Adaptation_with_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Dai_Free_on_the_Fly_Enhancing_Flexibility_in_Test-Time_Adaptation_with_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{dai2025free,\n  title={Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EM},\n  author={Dai, Qiyuan and Yang, Sibei},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online"
    ]
  },
  {
    "slug": "sgp",
    "full": "SGP",
    "title": "Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning",
    "authors": "Kunyu Wang, Xueyang Fu, Xin Lu, Chengjie Ge, Chengzhi Cao, Wei Zhai, Zheng-Jun Zha",
    "venue": "CVPR 2025",
    "task": "Detection",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Wang_Efficient_Test-time_Adaptive_Object_Detection_via_Sensitivity-Guided_Pruning_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Wang_Efficient_Test-time_Adaptive_Object_Detection_via_Sensitivity-Guided_Pruning_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{wang2025efficient,\n  title={Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning},\n  author={Wang, Kunyu and Fu, Xueyang and Lu, Xin and Ge, Chengjie and Cao, Chengzhi and Zhai, Wei and Zha, Zheng-Jun},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Object Detection",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "q_part",
    "full": "Q-PART",
    "title": "Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression",
    "authors": "Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li",
    "venue": "CVPR 2025",
    "task": "Regression",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Liu_Q-PART_Quasi-Periodic_Adaptive_Regression_with_Test-time_Training_for_Pediatric_Left_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Liu_Q-PART_Quasi-Periodic_Adaptive_Regression_with_Test-time_Training_for_Pediatric_Left_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{liu2025qpart,\n  title={Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression},\n  author={Liu, Jie and Qin, Tiexin and Liu, Hui and Shi, Yilei and Mou, Lichao and Zhu, Xiao Xiang and Wang, Shiqi and Li, Haoliang},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Regression",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "cosmic",
    "full": "COSMIC",
    "title": "COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation",
    "authors": "Fanding Huang, Jingyan Jiang, Qinting Jiang, Hebei Li, Faisal Nadeem Khan, Zhi Wang",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Huang_COSMIC_Clique-Oriented_Semantic_Multi-space_Integration_for_Robust_CLIP_Test-Time_Adaptation_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Huang_COSMIC_Clique-Oriented_Semantic_Multi-space_Integration_for_Robust_CLIP_Test-Time_Adaptation_CVPR_2025_paper.pdf",
    "code": "https://github.com/hf618/COSMIC",
    "bibtex": "@inproceedings{huang2025cosmic,\n  title={COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation},\n  author={Huang, Fanding and Jiang, Jingyan and Jiang, Qinting and Li, Hebei and Khan, Faisal Nadeem and Wang, Zhi},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "pura",
    "full": "PURA",
    "title": "PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking",
    "authors": "Zekai Shao, Yufan Hu, Bin Fan, Hongmin Liu",
    "venue": "CVPR 2025",
    "task": "Detection",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Shao_PURA_Parameter_Update-Recovery_Test-Time_Adaption_for_RGB-T_Tracking_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Shao_PURA_Parameter_Update-Recovery_Test-Time_Adaption_for_RGB-T_Tracking_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{shao2025pura,\n  title={PURA: Parameter Update-Recovery Test-Time Adaption for RGB-T Tracking},\n  author={Shao, Zekai and Hu, Yufan and Fan, Bin and Liu, Hongmin},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Object Detection",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "bca",
    "full": "BCA",
    "title": "Bayesian Test-Time Adaptation for Vision-Language Models",
    "authors": "Lihua Zhou, Mao Ye, Shuaifeng Li, Nianxin Li, Xiatian Zhu, Lei Deng, Hongbin Liu, Zhen Lei",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Zhou_Bayesian_Test-Time_Adaptation_for_Vision-Language_Models_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Zhou_Bayesian_Test-Time_Adaptation_for_Vision-Language_Models_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhou2025bayesian,\n  title={Bayesian Test-Time Adaptation for Vision-Language Models},\n  author={Zhou, Lihua and Ye, Mao and Li, Shuaifeng and Li, Nianxin and Zhu, Xiatian and Deng, Lei and Liu, Hongbin and Lei, Zhen},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "eatta",
    "full": "EATTA",
    "title": "Effortless Active Labeling for Long-Term Test-Time Adaptation",
    "authors": "Guowei Wang, Changxing Ding",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Wang_Effortless_Active_Labeling_for_Long-Term_Test-Time_Adaptation_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Wang_Effortless_Active_Labeling_for_Long-Term_Test-Time_Adaptation_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{wang2025effortless,\n  title={Effortless Active Labeling for Long-Term Test-Time Adaptation},\n  author={Wang, Guowei and Ding, Changxing},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "stata",
    "full": "StatA",
    "title": "Realistic Test-Time Adaptation of Vision-Language Models",
    "authors": "Maxime Zanella, Clement Fuchs, Christophe De Vleeschouwer, Ismail Ben Ayed",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Zanella_Realistic_Test-Time_Adaptation_of_Vision-Language_Models_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Zanella_Realistic_Test-Time_Adaptation_of_Vision-Language_Models_CVPR_2025_paper.pdf",
    "code": "https://github.com/MaxZanella/StatA",
    "bibtex": "@inproceedings{zanella2025realistic,\n  title={Realistic Test-Time Adaptation of Vision-Language Models},\n  author={Zanella, Maxime and Fuchs, Cl{\\'e}ment and De Vleeschouwer, Christophe and Ben Ayed, Ismail},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Mixed/Non-i.i.d.",
      "Label-Shift"
    ]
  },
  {
    "slug": "tapt",
    "full": "TAPT",
    "title": "TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models",
    "authors": "Xin Wang, Kai Chen, Jiaming Zhang, Jingjing Chen, Xingjun Ma",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Wang_TAPT_Test-Time_Adversarial_Prompt_Tuning_for_Robust_Inference_in_Vision-Language_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Wang_TAPT_Test-Time_Adversarial_Prompt_Tuning_for_Robust_Inference_in_Vision-Language_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{wang2025tapt,\n  title={TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models},\n  author={Wang, Xin and Chen, Kai and Zhang, Jiaming and Chen, Jingjing and Ma, Xingjun},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image",
      "Adversarial"
    ]
  },
  {
    "slug": "crisp",
    "full": "CRISP",
    "title": "CRISP: Object Pose and Shape Estimation with Test-Time Adaptation",
    "authors": "Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone",
    "venue": "CVPR 2025",
    "task": "Regression",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Shi_CRISP_Object_Pose_and_Shape_Estimation_with_Test-Time_Adaptation_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Shi_CRISP_Object_Pose_and_Shape_Estimation_with_Test-Time_Adaptation_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{shi2025crisp,\n  title={CRISP: Object Pose and Shape Estimation with Test-Time Adaptation},\n  author={Shi, Jingnan and Talak, Rajat and Zhang, Harry and Jin, David and Carlone, Luca},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "scap",
    "full": "SCAP",
    "title": "SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting",
    "authors": "Chenyu Zhang, Kunlun Xu, Zichen Liu, Yuxin Peng, Jiahuan Zhou",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Zhang_SCAP_Transductive_Test-Time_Adaptation_via_Supportive_Clique-based_Attribute_Prompting_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Zhang_SCAP_Transductive_Test-Time_Adaptation_via_Supportive_Clique-based_Attribute_Prompting_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhang2025scap,\n  title={SCAP: Transductive Test-Time Adaptation via Supportive Clique-based Attribute Prompting},\n  author={Zhang, Chenyu and Xu, Kunlun and Liu, Zichen and Peng, Yuxin and Zhou, Jiahuan},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language"
    ]
  },
  {
    "slug": "d3ctta",
    "full": "D3CTTA",
    "title": "D^3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation",
    "authors": "Jichun Zhao, Haiyong Jiang, Haoxuan Song, Jun Xiao, Dong Gong",
    "venue": "CVPR 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Zhao_D3CTTA_Domain-Dependent_Decorrelation_for_Continual_Test-Time_Adaption_of_3D_LiDAR_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Zhao_D3CTTA_Domain-Dependent_Decorrelation_for_Continual_Test-Time_Adaption_of_3D_LiDAR_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhao2025d3ctta,\n  title={D3CTTA: Domain-Dependent Decorrelation for Continual Test-Time Adaption of 3D LiDAR Segmentation},\n  author={Zhao, Jichun and Jiang, Haiyong and Song, Haoxuan and Xiao, Jun and Gong, Dong},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "hkpt",
    "full": "HKPT",
    "title": "Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation",
    "authors": "Qiang Zhang, Mengsheng Zhao, Jiawei Liu, Fanrui Zhang, Yongchao Xu, Zheng-Jun Zha",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Zhang_Hierarchical_Knowledge_Prompt_Tuning_for_Multi-task_Test-Time_Adaptation_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Zhang_Hierarchical_Knowledge_Prompt_Tuning_for_Multi-task_Test-Time_Adaptation_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhang2025hierarchical,\n  title={Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation},\n  author={Zhang, Qiang and Zhao, Mengsheng and Liu, Jiawei and Zhang, Fanrui and Xu, Yongchao and Zha, Zheng-Jun},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language"
    ]
  },
  {
    "slug": "tca_2",
    "full": "TCA",
    "title": "Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation",
    "authors": "Chenggong Ni, Fan Lyu, Jiayao Tan, Fuyuan Hu, Rui Yao, Tao Zhou",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Ni_Maintaining_Consistent_Inter-Class_Topology_in_Continual_Test-Time_Adaptation_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Ni_Maintaining_Consistent_Inter-Class_Topology_in_Continual_Test-Time_Adaptation_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{ni2025maintaining,\n  title={Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation},\n  author={Ni, Chenggong and Lyu, Fan and Tan, Jiayao and Hu, Fuyuan and Yao, Rui and Zhou, Tao},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "oodd",
    "full": "OODD",
    "title": "OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary",
    "authors": "Yifeng Yang, Lin Zhu, Zewen Sun, Hengyu Liu, Qinying Gu, Nanyang Ye",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Yang_OODD_Test-time_Out-of-Distribution_Detection_with_Dynamic_Dictionary_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Yang_OODD_Test-time_Out-of-Distribution_Detection_with_Dynamic_Dictionary_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{yang2025oodd,\n  title={OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary},\n  author={Yang, Yifeng and Zhu, Lin and Sun, Zewen and Liu, Hengyu and Gu, Qinying and Ye, Nanyang},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "OOD Detection",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "point_cache",
    "full": "Point-Cache",
    "title": "Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis",
    "authors": "Hongyu Sun, Qiuhong Ke, Ming Cheng, Yongcai Wang, Deying Li, Chenhui Gou, Jianfei Cai",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Sun_Point-Cache_Test-time_Dynamic_and_Hierarchical_Cache_for_Robust_and_Generalizable_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Sun_Point-Cache_Test-time_Dynamic_and_Hierarchical_Cache_for_Robust_and_Generalizable_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{sun2025pointcache,\n  title={Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis},\n  author={Sun, Hongyu and Ke, Qiuhong and Cheng, Ming and Wang, Yongcai and Li, Deying and Gou, Chenhui and Cai, Jianfei},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Gradient-free"
    ]
  },
  {
    "slug": "ttft_compress",
    "full": "TTFT-Compress",
    "title": "Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability",
    "authors": "Unki Park, Seongmoon Jeong, Youngchan Jang, Gyeong-Moon Park, Jong Hwan Ko",
    "venue": "CVPR 2025",
    "task": "Restoration",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Park_Test-Time_Fine-Tuning_of_Image_Compression_Models_for_Multi-Task_Adaptability_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Park_Test-Time_Fine-Tuning_of_Image_Compression_Models_for_Multi-Task_Adaptability_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{park2025testtime,\n  title={Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability},\n  author={Park, Unki and Jeong, Seongmoon and Jang, Youngchan and Park, Gyeong-Moon and Ko, Jong Hwan},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Restoration",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "vict",
    "full": "VICT",
    "title": "Test-Time Visual In-Context Tuning",
    "authors": "Jiahao Xie, Alessio Tonioni, Nathalie Rauschmayr, Federico Tombari, Bernt Schiele",
    "venue": "CVPR 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Xie_Test-Time_Visual_In-Context_Tuning_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Xie_Test-Time_Visual_In-Context_Tuning_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{xie2025testtime,\n  title={Test-Time Visual In-Context Tuning},\n  author={Xie, Jiahao and Tonioni, Alessio and Rauschmayr, Nathalie and Tombari, Federico and Schiele, Bernt},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "surgeon",
    "full": "SURGEON",
    "title": "SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity",
    "authors": "Ke Ma, Jiaqi Tang, Bin Guo, Fan Dang, Sicong Liu, Zhui Zhu, Lei Wu, Cheng Fang, Ying-Cong Chen, Zhiwen Yu, Yunhao Liu",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Ma_SURGEON_Memory-Adaptive_Fully_Test-Time_Adaptation_via_Dynamic_Activation_Sparsity_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Ma_SURGEON_Memory-Adaptive_Fully_Test-Time_Adaptation_via_Dynamic_Activation_Sparsity_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{ma2025surgeon,\n  title={SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity},\n  author={Ma, Ke and Tang, Jiaqi and Guo, Bin and Dang, Fan and Liu, Sicong and Zhu, Zhui and Wu, Lei and Fang, Cheng and Chen, Ying-Cong and Yu, Zhiwen and Liu, Yunhao},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "o_tpt",
    "full": "O-TPT",
    "title": "O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models",
    "authors": "Ashshak Sharifdeen, Muhammad Akhtar Munir, Sanoojan Baliah, Salman Khan, Muhammad Haris Khan",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Sharifdeen_O-TPT_Orthogonality_Constraints_for_Calibrating_Test-time_Prompt_Tuning_in_Vision-Language_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Sharifdeen_O-TPT_Orthogonality_Constraints_for_Calibrating_Test-time_Prompt_Tuning_in_Vision-Language_CVPR_2025_paper.pdf",
    "code": "https://github.com/ashshaksharifdeen/O-TPT",
    "bibtex": "@inproceedings{sharifdeen2025otpt,\n  title={O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models},\n  author={Sharifdeen, Ashshak and Munir, Muhammad Akhtar and Baliah, Sanoojan and Khan, Salman and Khan, Muhammad Haris},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "ttdg_mgm",
    "full": "TTDG-MGM",
    "title": "Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation",
    "authors": "Xingguo Lv, Xingbo Dong, Liwen Wang, Jiewen Yang, Lei Zhao, Bin Pu, Zhe Jin, Xuejun Li",
    "venue": "CVPR 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Lv_Test-Time_Domain_Generalization_via_Universe_Learning_A_Multi-Graph_Matching_Approach_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Lv_Test-Time_Domain_Generalization_via_Universe_Learning_A_Multi-Graph_Matching_Approach_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{lv2025testtime,\n  title={Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation},\n  author={Lv, Xingguo and Dong, Xingbo and Wang, Liwen and Yang, Jiewen and Zhao, Lei and Pu, Bin and Jin, Zhe and Li, Xuejun},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Graph",
      "Image",
      "Medical"
    ]
  },
  {
    "slug": "osls_tt",
    "full": "OSLS-TT",
    "title": "Open Set Label Shift with Test Time Out-of-Distribution Reference",
    "authors": "Changkun Ye, Russell Tsuchida, Lars Petersson, Nick Barnes",
    "venue": "CVPR 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/CVPR2025/html/Ye_Open_Set_Label_Shift_with_Test_Time_Out-of-Distribution_Reference_CVPR_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2025/papers/Ye_Open_Set_Label_Shift_with_Test_Time_Out-of-Distribution_Reference_CVPR_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{ye2025openset,\n  title={Open Set Label Shift with Test Time Out-of-Distribution Reference},\n  author={Ye, Changkun and Tsuchida, Russell and Petersson, Lars and Barnes, Nick},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "OOD Detection",
    "tags": [
      "Image",
      "Open-set",
      "Label-Shift"
    ]
  },
  {
    "slug": "tca_3",
    "full": "TCA",
    "title": "Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation",
    "authors": "Zixin Wang, Dong Gong, Sen Wang, Zi Huang, Yadan Luo",
    "venue": "ICCV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Wang_Is_Less_More_Exploring_Token_Condensation_as_Training-free_Test-time_Adaptation_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Wang_Is_Less_More_Exploring_Token_Condensation_as_Training-free_Test-time_Adaptation_ICCV_2025_paper.pdf",
    "code": "https://github.com/Jo-wang/TCA",
    "bibtex": "@inproceedings{wang2025tokencondensation,\n  title={Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation},\n  author={Wang, Zixin and Gong, Dong and Wang, Sen and Huang, Zi and Luo, Yadan},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Gradient-free"
    ]
  },
  {
    "slug": "ttpt",
    "full": "TTPT",
    "title": "Test-Time Prompt Tuning for Zero-Shot Depth Completion",
    "authors": "Chanhwi Jeong, Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon",
    "venue": "ICCV 2025",
    "task": "Regression",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Jeong_Test-Time_Prompt_Tuning_for_Zero-Shot_Depth_Completion_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Jeong_Test-Time_Prompt_Tuning_for_Zero-Shot_Depth_Completion_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{jeong2025testtime,\n  title={Test-Time Prompt Tuning for Zero-Shot Depth Completion},\n  author={Jeong, Chanhwi and Bae, Inhwan and Park, Jin-Hwi and Jeon, Hae-Gon},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Vision-Language"
    ]
  },
  {
    "slug": "tt_raa",
    "full": "TT-RAA",
    "title": "Test-Time Retrieval-Augmented Adaptation for Vision-Language Models",
    "authors": "Xinqi Fan, Xueli Chen, Luoxiao Yang, Chuin Hong Yap, Rizwan Qureshi, Qi Dou, Moi Hoon Yap, Mubarak Shah",
    "venue": "ICCV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Fan_Test-Time_Retrieval-Augmented_Adaptation_for_Vision-Language_Models_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Fan_Test-Time_Retrieval-Augmented_Adaptation_for_Vision-Language_Models_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{fan2025testtime,\n  title={Test-Time Retrieval-Augmented Adaptation for Vision-Language Models},\n  author={Fan, Xinqi and Chen, Xueli and Yang, Luoxiao and Yap, Chuin Hong and Qureshi, Rizwan and Dou, Qi and Yap, Moi Hoon and Shah, Mubarak},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Gradient-free"
    ]
  },
  {
    "slug": "batclip",
    "full": "BATCLIP",
    "title": "BATCLIP: Bimodal Online Test-Time Adaptation for CLIP",
    "authors": "Sarthak Maharana, Baoming Zhang, Leonid Karlinsky, Rogerio Feris, Yunhui Guo",
    "venue": "ICCV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Maharana_BATCLIP_Bimodal_Online_Test-Time_Adaptation_for_CLIP_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Maharana_BATCLIP_Bimodal_Online_Test-Time_Adaptation_for_CLIP_ICCV_2025_paper.pdf",
    "code": "https://github.com/sarthaxxxxx/BATCLIP",
    "bibtex": "@inproceedings{maharana2025batclip,\n  title={BATCLIP: Bimodal Online Test-Time Adaptation for CLIP},\n  author={Maharana, Sarthak and Zhang, Baoming and Karlinsky, Leonid and Feris, Rogerio and Guo, Yunhui},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online"
    ]
  },
  {
    "slug": "topotta",
    "full": "TopoTTA",
    "title": "TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation",
    "authors": "Jiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu, Xin Guo, Yizhong Liu, Wenzhong Tang, Xun Lin, Yefeng Zheng",
    "venue": "ICCV 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Zhou_TopoTTA_Topology-Enhanced_Test-Time_Adaptation_for_Tubular_Structure_Segmentation_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Zhou_TopoTTA_Topology-Enhanced_Test-Time_Adaptation_for_Tubular_Structure_Segmentation_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhou2025topotta,\n  title={TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation},\n  author={Zhou, Jiale and Wang, Wenhan and Li, Shikun and Qu, Xiaolei and Guo, Xin and Liu, Yizhong and Tang, Wenzhong and Lin, Xun and Zheng, Yefeng},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "duo",
    "full": "DUO",
    "title": "Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts",
    "authors": "Zixuan Hu, Dongxiao Li, Xinzhu Ma, Shixiang Tang, Xiaotong Li, Wenhan Yang, Ling-Yu Duan",
    "venue": "ICCV 2025",
    "task": "Detection",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Hu_Adaptive_Dual_Uncertainty_Optimization_Boosting_Monocular_3D_Object_Detection_under_ICCV_2025_paper.html",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{hu2025adaptive,\n  title={Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts},\n  author={Hu, Zixuan and Li, Dongxiao and Ma, Xinzhu and Tang, Shixiang and Li, Xiaotong and Yang, Wenhan and Duan, Ling-Yu},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Object Detection",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Online"
    ]
  },
  {
    "slug": "hybrid_tta",
    "full": "Hybrid-TTA",
    "title": "Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection",
    "authors": "Hyewon Park, Hyejin Park, Jueun Ko, Dongbo Min",
    "venue": "ICCV 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Park_Hybrid-TTA_Continual_Test-time_Adaptation_via_Dynamic_Domain_Shift_Detection_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Park_Hybrid-TTA_Continual_Test-time_Adaptation_via_Dynamic_Domain_Shift_Detection_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{park2025hybridtta,\n  title={Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection},\n  author={Park, Hyewon and Park, Hyejin and Ko, Jueun and Min, Dongbo},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "eta",
    "full": "ETA",
    "title": "ETA: Energy-based Test-time Adaptation for Depth Completion",
    "authors": "Younjoon Chung, Hyoungseob Park, Patrick Rim, Xiaoran Zhang, Jihe He, Ziyao Zeng, Safa Cicek, Byung-Woo Hong, James S. Duncan, Alex Wong",
    "venue": "ICCV 2025",
    "task": "Regression",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Chung_ETA_Energy-based_Test-time_Adaptation_for_Depth_Completion_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Chung_ETA_Energy-based_Test-time_Adaptation_for_Depth_Completion_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{chung2025eta,\n  title={ETA: Energy-based Test-time Adaptation for Depth Completion},\n  author={Chung, Younjoon and Park, Hyoungseob and Rim, Patrick and Zhang, Xiaoran and He, Jihe and Zeng, Ziyao and Cicek, Safa and Hong, Byung-Woo and Duncan, James S. and Wong, Alex},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "cav_sam",
    "full": "CAV-SAM",
    "title": "Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild",
    "authors": "Haoran Wang, Zekun Li, Jian Zhang, Lei Qi, Yinghuan Shi",
    "venue": "ICCV 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Wang_Correspondence_as_Video_Test-Time_Adaption_on_SAM2_for_Reference_Segmentation_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Wang_Correspondence_as_Video_Test-Time_Adaption_on_SAM2_for_Reference_Segmentation_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{wang2025correspondence,\n  title={Correspondence as Video: Test-Time Adaption on SAM2 for Reference Segmentation in the Wild},\n  author={Wang, Haoran and Li, Zekun and Zhang, Jian and Qi, Lei and Shi, Yinghuan},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Video",
      "Online"
    ]
  },
  {
    "slug": "fret",
    "full": "FRET",
    "title": "FRET: Feature Redundancy Elimination for Test Time Adaptation",
    "authors": "Linjing You, Jiabao Lu, Xiayuan Huang, Xiangli Nie",
    "venue": "ICCV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/You_FRET_Feature_Redundancy_Elimination_for_Test_Time_Adaptation_ICCV_2025_paper.html",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{you2025fret,\n  title={FRET: Feature Redundancy Elimination for Test Time Adaptation},\n  author={You, Linjing and Lu, Jiabao and Huang, Xiayuan and Nie, Xiangli},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "mcp",
    "full": "MCP",
    "title": "Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models",
    "authors": "Xinyu Chen, Haotian Zhai, Can Zhang, Xiupeng Shi, Ruirui Li",
    "venue": "ICCV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Chen_Multi-Cache_Enhanced_Prototype_Learning_for_Test-Time_Generalization_of_Vision-Language_Models_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Chen_Multi-Cache_Enhanced_Prototype_Learning_for_Test-Time_Generalization_of_Vision-Language_Models_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{chen2025multicache,\n  title={Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models},\n  author={Chen, Xinyu and Zhai, Haotian and Zhang, Can and Shi, Xiupeng and Li, Ruirui},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Gradient-free"
    ]
  },
  {
    "slug": "pttea",
    "full": "PTTEA",
    "title": "Progressive Test Time Energy Adaptation for Medical Image Segmentation",
    "authors": "Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park, Daniel H. Pak, Anne-Marie Rickmann, Lawrence H. Staib, James S. Duncan, Alex Wong",
    "venue": "ICCV 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Zhang_Progressive_Test_Time_Energy_Adaptation_for_Medical_Image_Segmentation_ICCV_2025_paper.html",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{zhang2025progressive,\n  title={Progressive Test Time Energy Adaptation for Medical Image Segmentation},\n  author={Zhang, Xiaoran and Hong, Byung-Woo and Park, Hyoungseob and Pak, Daniel H. and Rickmann, Anne-Marie and Staib, Lawrence H. and Duncan, James S. and Wong, Alex},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Medical",
      "Online"
    ]
  },
  {
    "slug": "hvtpg",
    "full": "HVTPG",
    "title": "Hierarchical Variational Test-Time Prompt Generation for Zero-Shot Generalization",
    "authors": "Zhaoyang Wu, Fang Liu, Licheng Jiao, Shuo Li, Lingling Li, Xu Liu, Puhua Chen, Wenping Ma",
    "venue": "ICCV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Wu_Hierarchical_Variational_Test-Time_Prompt_Generation_for_Zero-Shot_Generalization_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Wu_Hierarchical_Variational_Test-Time_Prompt_Generation_for_Zero-Shot_Generalization_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{wu2025hierarchical,\n  title={Hierarchical Variational Test-Time Prompt Generation for Zero-Shot Generalization},\n  author={Wu, Zhaoyang and Liu, Fang and Jiao, Licheng and Li, Shuo and Li, Lingling and Liu, Xu and Chen, Puhua and Ma, Wenping},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "purge_gate",
    "full": "Purge-Gate",
    "title": "Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging",
    "authors": "Moslem Yazdanpanah, Ali Bahri, Mehrdad Noori, Sahar Dastani, Gustavo Adolfo Vargas Hakim, David Osowiechi, Ismail Ben Ayed, Christian Desrosiers",
    "venue": "ICCV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Yazdanpanah_Purge-Gate_Backpropagation-Free_Test-Time_Adaptation_for_Point_Clouds_Classification_via_Token_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Yazdanpanah_Purge-Gate_Backpropagation-Free_Test-Time_Adaptation_for_Point_Clouds_Classification_via_Token_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{yazdanpanah2025purgegate,\n  title={Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token Purging},\n  author={Yazdanpanah, Moslem and Bahri, Ali and Noori, Mehrdad and Dastani, Sahar and Vargas Hakim, Gustavo Adolfo and Osowiechi, David and Ben Ayed, Ismail and Desrosiers, Christian},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Gradient-free"
    ]
  },
  {
    "slug": "dc_tta",
    "full": "DC-TTA",
    "title": "DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation",
    "authors": "Jihun Kim, Hoyong Kwon, Hyeokjun Kweon, Wooseong Jeong, Kuk-Jin Yoon",
    "venue": "ICCV 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Kim_DC-TTA_Divide-and-Conquer_Framework_for_Test-Time_Adaptation_of_Interactive_Segmentation_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Kim_DC-TTA_Divide-and-Conquer_Framework_for_Test-Time_Adaptation_of_Interactive_Segmentation_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{kim2025dctta,\n  title={DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation},\n  author={Kim, Jihun and Kwon, Hoyong and Kweon, Hyeokjun and Jeong, Wooseong and Yoon, Kuk-Jin},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "s4t",
    "full": "S4T",
    "title": "Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training",
    "authors": "Wooseong Jeong, Jegyeong Cho, Youngho Yoon, Kuk-Jin Yoon",
    "venue": "ICCV 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Jeong_Synchronizing_Task_Behavior_Aligning_Multiple_Tasks_during_Test-Time_Training_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Jeong_Synchronizing_Task_Behavior_Aligning_Multiple_Tasks_during_Test-Time_Training_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{jeong2025synchronizing,\n  title={Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training},\n  author={Jeong, Wooseong and Cho, Jegyeong and Yoon, Youngho and Yoon, Kuk-Jin},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "ttad",
    "full": "TTAD",
    "title": "Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior",
    "authors": "Qing Ma, Pengwei Liang, Xiong Zhou, Jiayi Ma, Junjun Jiang, Zhe Peng",
    "venue": "ICCV 2025",
    "task": "Restoration",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Ma_Robust_Test-Time_Adaptation_for_Single_Image_Denoising_Using_Deep_Gaussian_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Ma_Robust_Test-Time_Adaptation_for_Single_Image_Denoising_Using_Deep_Gaussian_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{ma2025robust,\n  title={Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior},\n  author={Ma, Qing and Liang, Pengwei and Zhou, Xiong and Ma, Jiayi and Jiang, Junjun and Peng, Zhe},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Restoration",
    "tags": [
      "Image",
      "Single-image"
    ]
  },
  {
    "slug": "medsam_tta",
    "full": "MedSAM-TTA",
    "title": "Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates",
    "authors": "Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho Fun Lee, Hong Yan, Haoliang Li",
    "venue": "ICCV 2025",
    "task": "Segmentation",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Chen_Test-time_Adaptation_for_Foundation_Medical_Segmentation_Model_Without_Parametric_Updates_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Chen_Test-time_Adaptation_for_Foundation_Medical_Segmentation_Model_Without_Parametric_Updates_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{chen2025testtime,\n  title={Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates},\n  author={Chen, Kecheng and Luo, Xinyu and Qin, Tiexin and Liu, Jie and Liu, Hui and Lee, Victor Ho Fun and Yan, Hong and Li, Haoliang},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Medical",
      "Gradient-free"
    ]
  },
  {
    "slug": "protomm",
    "full": "ProtoMM",
    "title": "Dynamic Multimodal Prototype Learning in Vision-Language Models",
    "authors": "Xingyu Zhu, Shuo Wang, Beier Zhu, Miaoge Li, Yunfan Li, Junfeng Fang, Zhicai Wang, Dongsheng Wang, Hanwang Zhang",
    "venue": "ICCV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/ICCV2025/html/Zhu_Dynamic_Multimodal_Prototype_Learning_in_Vision-Language_Models_ICCV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2025/papers/Zhu_Dynamic_Multimodal_Prototype_Learning_in_Vision-Language_Models_ICCV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhu2025dynamic,\n  title={Dynamic Multimodal Prototype Learning in Vision-Language Models},\n  author={Zhu, Xingyu and Wang, Shuo and Zhu, Beier and Li, Miaoge and Li, Yunfan and Fang, Junfeng and Wang, Zhicai and Wang, Dongsheng and Zhang, Hanwang},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Multimodal",
      "Vision-Language",
      "Gradient-free"
    ]
  },
  {
    "slug": "fata",
    "full": "FATA",
    "title": "Feature Augmentation Based Test-Time Adaptation",
    "authors": "Younggeol Cho, Youngrae Kim, Junho Yoon, Seunghoon Hong, Dongman Lee",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/WACV2025/html/Cho_Feature_Augmentation_Based_Test-Time_Adaptation_WACV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/WACV2025/papers/Cho_Feature_Augmentation_Based_Test-Time_Adaptation_WACV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{cho2025feature,\n  title={Feature Augmentation Based Test-Time Adaptation},\n  author={Cho, Younggeol and Kim, Youngrae and Yoon, Junho and Hong, Seunghoon and Lee, Dongman},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "sota_dit",
    "full": "SoTa-DiT",
    "title": "Disentangle Source and Target Knowledge for Continual Test-Time Adaptation",
    "authors": "Tianyi Ma, Maoying Qiao",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/WACV2025/html/Ma_Disentangle_Source_and_Target_Knowledge_for_Continual_Test-Time_Adaptation_WACV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/WACV2025/papers/Ma_Disentangle_Source_and_Target_Knowledge_for_Continual_Test-Time_Adaptation_WACV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{ma2025disentangle,\n  title={Disentangle Source and Target Knowledge for Continual Test-Time Adaptation},\n  author={Ma, Tianyi and Qiao, Maoying},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "ot_vp",
    "full": "OT-VP",
    "title": "OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation",
    "authors": "Yunbei Zhang, Akshay Mehra, Jihun Hamm",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/WACV2025/html/Zhang_OT-VP_Optimal_Transport-Guided_Visual_Prompting_for_Test-Time_Adaptation_WACV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/WACV2025/papers/Zhang_OT-VP_Optimal_Transport-Guided_Visual_Prompting_for_Test-Time_Adaptation_WACV_2025_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhang2025otvp,\n  title={OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation},\n  author={Zhang, Yunbei and Mehra, Akshay and Hamm, Jihun},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Vision-Language"
    ]
  },
  {
    "slug": "rec_ttt",
    "full": "ReC-TTT",
    "title": "ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training",
    "authors": "Marco Colussi, Sergio Mascetti, Jose Dolz, Christian Desrosiers",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/WACV2025/html/Colussi_ReC-TTT_Contrastive_Feature_Reconstruction_for_Test-Time_Training_WACV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/WACV2025/papers/Colussi_ReC-TTT_Contrastive_Feature_Reconstruction_for_Test-Time_Training_WACV_2025_paper.pdf",
    "code": "https://github.com/warpcut/ReC-TTT",
    "bibtex": "@inproceedings{colussi2025recttt,\n  title={ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training},\n  author={Colussi, Marco and Mascetti, Sergio and Dolz, Jose and Desrosiers, Christian},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "ttl_2",
    "full": "TTL",
    "title": "Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models",
    "authors": "Raza Imam, Hanan Gani, Muhammad Huzaifa, Karthik Nandakumar",
    "venue": "WACV 2025",
    "task": "Classification",
    "url": "https://openaccess.thecvf.com/content/WACV2025/html/Imam_Test-Time_Low_Rank_Adaptation_via_Confidence_Maximization_for_Zero-Shot_Generalization_WACV_2025_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/WACV2025/papers/Imam_Test-Time_Low_Rank_Adaptation_via_Confidence_Maximization_for_Zero-Shot_Generalization_WACV_2025_paper.pdf",
    "code": "https://github.com/Razaimam45/TTL-Test-Time-Low-Rank-Adaptation",
    "bibtex": "@inproceedings{imam2025testtime,\n  title={Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models},\n  author={Imam, Raza and Gani, Hanan and Huzaifa, Muhammad and Nandakumar, Karthik},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Single-image"
    ]
  },
  {
    "slug": "etta",
    "full": "ETTA",
    "title": "ETTA: Efficient Test-Time Adaptation for Vision-Language Models through Dynamic Embedding Updates",
    "authors": "Hamidreza Dastmalchi, Aijun An, Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe",
    "venue": "BMVC 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2508.05898",
    "pdf": "https://bmva-archive.org.uk/bmvc/2025/assets/papers/Paper_1137/paper.pdf",
    "code": "https://github.com/hamidreza-dastmalchi/ETTA",
    "bibtex": "@inproceedings{dastmalchi2025etta,\n  title={ETTA: Efficient Test-Time Adaptation for Vision-Language Models through Dynamic Embedding Updates},\n  author={Dastmalchi, Hamidreza and An, Aijun and Cheraghian, Ali and Rahman, Shafin and Ramasinghe, Sameera},\n  booktitle={Proceedings of the British Machine Vision Conference (BMVC)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online",
      "Gradient-free"
    ]
  },
  {
    "slug": "rem_2",
    "full": "REM",
    "title": "Revisiting Entropy Minimization for Long-Sequence Continual Test-Time Adaptation",
    "authors": "WeiQin Chuah, Ruwan Tennakoon, Alireza Bab-Hadiashar",
    "venue": "BMVC 2025",
    "task": "Classification",
    "url": "https://bmvc2025.bmva.org/proceedings/259/",
    "pdf": "https://bmva-archive.org.uk/bmvc/2025/assets/papers/Paper_259/paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{chuah2025revisiting,\n  title={Revisiting Entropy Minimization for Long-Sequence Continual Test-Time Adaptation},\n  author={Chuah, WeiQin and Tennakoon, Ruwan and Bab-Hadiashar, Alireza},\n  booktitle={Proceedings of the British Machine Vision Conference (BMVC)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "segassist",
    "full": "SegAssist",
    "title": "Segmentation Assisted Incremental Test Time Adaptation in an Open World",
    "authors": "Manogna Sreenivas, Soma Biswas",
    "venue": "BMVC 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2508.20029",
    "pdf": "https://bmva-archive.org.uk/bmvc/2025/assets/papers/Paper_632/paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{sreenivas2025segmentation,\n  title={Segmentation Assisted Incremental Test Time Adaptation in an Open World},\n  author={Sreenivas, Manogna and Biswas, Soma},\n  booktitle={Proceedings of the British Machine Vision Conference (BMVC)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Continual",
      "Open-set"
    ]
  },
  {
    "slug": "paf_ostta",
    "full": "PAF-OSTTA",
    "title": "Stabilizing Open-Set Test-Time Adaptation via Primary-Auxiliary Filtering and Knowledge-Integrated Prediction",
    "authors": "Byung-Joon Lee, Jin-Seop Lee, Jee-Hyong Lee",
    "venue": "BMVC 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2508.18751",
    "pdf": "https://bmva-archive.org.uk/bmvc/2025/assets/papers/Paper_1003/paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{lee2025stabilizing,\n  title={Stabilizing Open-Set Test-Time Adaptation via Primary-Auxiliary Filtering and Knowledge-Integrated Prediction},\n  author={Lee, Byung-Joon and Lee, Jin-Seop and Lee, Jee-Hyong},\n  booktitle={Proceedings of the British Machine Vision Conference (BMVC)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Open-set",
      "Online"
    ]
  },
  {
    "slug": "reta",
    "full": "ReTA",
    "title": "Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations",
    "authors": "Yiwen Liang, Hui Chen, Yizhe Xiong, Zihan Zhou, Mengyao Lyu, Zijia Lin, Shuaicheng Niu, Sicheng Zhao, Jungong Han, Guiguang Ding",
    "venue": "ACM MM 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2507.09500",
    "pdf": "https://arxiv.org/pdf/2507.09500",
    "code": "https://github.com/Evelyn1ywliang/ReTA",
    "bibtex": "@inproceedings{liang2025advancing,\n  title={Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations},\n  author={Liang, Yiwen and Chen, Hui and Xiong, Yizhe and Zhou, Zihan and Lyu, Mengyao and Lin, Zijia and Niu, Shuaicheng and Zhao, Sicheng and Han, Jungong and Ding, Guiguang},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language",
      "Online"
    ]
  },
  {
    "slug": "analytic_ctta",
    "full": "Analytic CTTA",
    "title": "Analytic Continual Test-Time Adaptation for Multi-Modality Corruption",
    "authors": "Yufei Zhang, Yicheng Xu, Hongxin Wei, Zhiping Lin, Xiaofeng Zou, Cen Chen, Huiping Zhuang",
    "venue": "ACM MM 2025",
    "task": "Classification",
    "url": "https://arxiv.org/abs/2410.22373",
    "pdf": "https://arxiv.org/pdf/2410.22373",
    "code": "https://github.com/Yu-fei-Zhang/MDAA",
    "bibtex": "@inproceedings{zhang2025analytic,\n  title={Analytic Continual Test-Time Adaptation for Multi-Modality Corruption},\n  author={Zhang, Yufei and Xu, Yicheng and Wei, Hongxin and Lin, Zhiping and Zou, Xiaofeng and Chen, Cen and Zhuang, Huiping},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Audio Classification",
    "tags": [
      "Audio",
      "Multimodal",
      "Continual"
    ]
  },
  {
    "slug": "ebar",
    "full": "EBaR",
    "title": "EBaR: Efficient Buffer and Resetting for Single-Sample Continual Test-Time Adaptation",
    "authors": "Tianyi Ma, Maoying Qiao",
    "venue": "ACM MM 2025",
    "task": "Classification",
    "url": "https://dl.acm.org/doi/10.1145/3746027.3754907",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{ma2025ebar,\n  title={EBaR: Efficient Buffer and Resetting for Single-Sample Continual Test-Time Adaptation},\n  author={Ma, Tianyi and Qiao, Maoying},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual",
      "Mixed/Non-i.i.d."
    ]
  },
  {
    "slug": "jtta",
    "full": "JTTA",
    "title": "Joint Test-time Adaptation with Refined Pseudo-labels and Latent Score Matching",
    "authors": "Yijie Yang, Lianyong Qi, Weiming Liu, Fan Wang, Jing Du, Yuwen Liu, Xiaolong Xu, Qiang Ni, Wanchun Dou, Xiaokang Zhou",
    "venue": "ACM MM 2025",
    "task": "Classification",
    "url": "https://dl.acm.org/doi/10.1145/3746027.3754494",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{yang2025joint,\n  title={Joint Test-time Adaptation with Refined Pseudo-labels and Latent Score Matching},\n  author={Yang, Yijie and Qi, Lianyong and Liu, Weiming and Wang, Fan and Du, Jing and Liu, Yuwen and Xu, Xiaolong and Ni, Qiang and Dou, Wanchun and Zhou, Xiaokang},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "paf",
    "full": "PAF",
    "title": "PAF: Prototype Adaptive Fusion for Test-Time Adaptation of Vision-Language Models",
    "authors": "Si Chen, Yujia Chen, Xiaotian Yin, Xin Liu, Huakai Lai, Tianzhu Zhang",
    "venue": "ACM MM 2025",
    "task": "Classification",
    "url": "https://dl.acm.org/doi/10.1145/3746027.3754947",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{chen2025paf,\n  title={PAF: Prototype Adaptive Fusion for Test-Time Adaptation of Vision-Language Models},\n  author={Chen, Si and Chen, Yujia and Yin, Xiaotian and Liu, Xin and Lai, Huakai and Zhang, Tianzhu},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Vision-Language Classification",
    "tags": [
      "Vision-Language"
    ]
  },
  {
    "slug": "pataug",
    "full": "PatAug",
    "title": "PatAug: Augmentation of Augmentation for Test-Time Adaptation",
    "authors": "Xinyao Li, Dan Zhang, Zhekai Du, Lei Zhu",
    "venue": "ACM MM 2025",
    "task": "Classification",
    "url": "https://dl.acm.org/doi/10.1145/3746027.3755740",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{li2025pataug,\n  title={PatAug: Augmentation of Augmentation for Test-Time Adaptation},\n  author={Li, Xinyao and Zhang, Dan and Du, Zhekai and Zhu, Lei},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ]
  },
  {
    "slug": "plato_tta",
    "full": "PLATO-TTA",
    "title": "PLATO-TTA: Prototype-Guided Pseudo-Labeling and Adaptive Tuning for Multi-Modal Test-Time Adaptation of 3D Segmentation",
    "authors": "Yachao Zhang, Miaoyu Li, Yuan Xie, Cuihua Li, Cong Wang, Zhizhong Zhang, Yanyun Qu",
    "venue": "ACM MM 2025",
    "task": "Segmentation",
    "url": "https://dl.acm.org/doi/10.1145/3746027.3755793",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{zhang2025platotta,\n  title={PLATO-TTA: Prototype-Guided Pseudo-Labeling and Adaptive Tuning for Multi-Modal Test-Time Adaptation of 3D Segmentation},\n  author={Zhang, Yachao and Li, Miaoyu and Xie, Yuan and Li, Cuihua and Wang, Cong and Zhang, Zhizhong and Qu, Yanyun},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Multimodal",
      "Continual"
    ]
  },
  {
    "slug": "sam_ttt",
    "full": "SAM-TTT",
    "title": "SAM-TTT: Segment Anything Model via Reverse Parameter Configuration and Test-Time Training for Camouflaged Object Detection",
    "authors": "Zhenni Yu, Li Zhao, Guobao Xiao, Xiaoqin Zhang",
    "venue": "ACM MM 2025",
    "task": "Detection",
    "url": "https://arxiv.org/abs/2509.11884",
    "pdf": "https://arxiv.org/pdf/2509.11884",
    "code": "",
    "bibtex": "@inproceedings{yu2025samttt,\n  title={SAM-TTT: Segment Anything Model via Reverse Parameter Configuration and Test-Time Training for Camouflaged Object Detection},\n  author={Yu, Zhenni and Zhao, Li and Xiao, Guobao and Zhang, Xiaoqin},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Object Detection",
    "tags": [
      "Image"
    ]
  },
  {
    "slug": "tta_tbps",
    "full": "TTA-TBPS",
    "title": "Test-Time Adaptation for Text-Based Person Search",
    "authors": "Kun Niu, Lan Shi, Kun Han, Qi Zhao, Yu Wu, Yang Zhang",
    "venue": "ACM MM 2025",
    "task": "Retrieval & Ranking",
    "url": "https://dl.acm.org/doi/10.1145/3746027.3754946",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{niu2025testtime,\n  title={Test-Time Adaptation for Text-Based Person Search},\n  author={Niu, Kun and Shi, Lan and Han, Kun and Zhao, Qi and Wu, Yu and Zhang, Yang},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Person Re-ID",
    "tags": [
      "Image",
      "Person-ReID",
      "Online"
    ]
  },
  {
    "slug": "mome_tta",
    "full": "MoME-TTA",
    "title": "Test-Time Adaptation of Medical Vision-Language Models with Mixture of Modality Experts",
    "authors": "Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed",
    "venue": "ACM MM 2025",
    "task": "Classification",
    "url": "https://dl.acm.org/doi/10.1145/3746027.3755543",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{bateson2025testtime,\n  title={Test-Time Adaptation of Medical Vision-Language Models with Mixture of Modality Experts},\n  author={Bateson, Mathilde and Kervadec, Hoel and Dolz, Jose and Lombaert, Herve and Ben Ayed, Ismail},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Medical Image Classification",
    "tags": [
      "Image",
      "Medical",
      "Vision-Language"
    ]
  },
  {
    "slug": "d2go",
    "full": "D2GO",
    "title": "Test-time Graph OOD Detection via Dynamic Dictionary Expansion and OOD Score Calibration",
    "authors": "Yue Hou, Yang Su, Jie Wu, Kun Xu",
    "venue": "ACM MM 2025",
    "task": "Classification",
    "url": "https://dl.acm.org/doi/10.1145/3746027.3755741",
    "pdf": "",
    "code": "",
    "bibtex": "@inproceedings{hou2025testtime,\n  title={Test-time Graph OOD Detection via Dynamic Dictionary Expansion and OOD Score Calibration},\n  author={Hou, Yue and Su, Yang and Wu, Jie and Xu, Kun},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "OOD Detection",
    "tags": [
      "Graph",
      "Open-set"
    ]
  },
  {
    "slug": "rap",
    "full": "RAP",
    "title": "To Remember, To Adapt, To Preempt: A Stable Continual Test-Time Adaptation Framework for Remote Physiological Measurement in Dynamic Domain Shifts",
    "authors": "Shuyang Chu, Jingang Shi, Xu Cheng, Haoyu Chen, Xin Liu, Jian Xu, Guoying Zhao",
    "venue": "ACM MM 2025",
    "task": "Regression",
    "url": "https://arxiv.org/abs/2510.01282",
    "pdf": "https://arxiv.org/pdf/2510.01282",
    "code": "",
    "bibtex": "@inproceedings{chu2025remember,\n  title={To Remember, To Adapt, To Preempt: A Stable Continual Test-Time Adaptation Framework for Remote Physiological Measurement in Dynamic Domain Shifts},\n  author={Chu, Shuyang and Shi, Jingang and Cheng, Xu and Chen, Haoyu and Liu, Xin and Xu, Jian and Zhao, Guoying},\n  booktitle={Proceedings of the 33rd ACM International Conference on Multimedia (MM)},\n  year={2025}\n}",
    "presentation": "",
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Continual"
    ]
  },
  {
    "slug": "llm_embeddings_improve_test_time_adaptat",
    "full": "",
    "title": "LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts",
    "authors": "Yibo Zeng, Jiashuo Liu, Henry Lam, Hongseok Namkoong",
    "venue": "arXiv 2024",
    "task": "Classification",
    "task_fine": "Tabular Classification",
    "tags": [
      "Tabular",
      "Label-Shift"
    ],
    "url": "https://arxiv.org/abs/2410.07395",
    "pdf": "https://arxiv.org/pdf/2410.07395",
    "code": "",
    "bibtex": "@article{zeng2024llmembeddings,\n  title={LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts},\n  author={Zeng, Yibo and Liu, Jiashuo and Lam, Henry and Namkoong, Hongseok},\n  journal={arXiv preprint arXiv:2410.07395},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "stamp_2",
    "full": "STAMP",
    "title": "Outlier-Aware Test-Time Adaptation with Stable Memory Replay",
    "authors": "Yongcan Yu, Lijun Sheng, Ran He, Jian Liang",
    "venue": "ECCV 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Open-set",
      "Online"
    ],
    "url": "https://link.springer.com/chapter/10.1007/978-3-031-73004-7_22",
    "pdf": "https://arxiv.org/pdf/2407.15773",
    "code": "https://github.com/yuyongcan/STAMP",
    "bibtex": "@inproceedings{yu2024stamp,\n  title={Outlier-Aware Test-Time Adaptation with Stable Memory Replay},\n  author={Yu, Yongcan and Sheng, Lijun and He, Ran and Liang, Jian},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "ev_tta_test_time_adaptation_for_event_ba",
    "full": "Ev-TTA",
    "title": "Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition",
    "authors": "Junho Kim, Inwoo Hwang, Young Min Kim",
    "venue": "CVPR 2022",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2022/html/Kim_Ev-TTA_Test-Time_Adaptation_for_Event-Based_Object_Recognition_CVPR_2022_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2022/papers/Kim_Ev-TTA_Test-Time_Adaptation_for_Event-Based_Object_Recognition_CVPR_2022_paper.pdf",
    "code": "https://github.com/82magnolia/ev_tta",
    "bibtex": "@inproceedings{kim2022evtta,\n  title={Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition},\n  author={Kim, Junho and Hwang, Inwoo and Kim, Young Min},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  pages={17745--17754},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "sketch3t_test_time_training_for_zero_sho",
    "full": "Sketch3T",
    "title": "Sketch3T: Test-Time Training for Zero-Shot SBIR",
    "authors": "Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song",
    "venue": "CVPR 2022",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Text/Document"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2022/html/Sain_Sketch3T_Test-Time_Training_for_Zero-Shot_SBIR_CVPR_2022_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2022/papers/Sain_Sketch3T_Test-Time_Training_for_Zero-Shot_SBIR_CVPR_2022_paper.pdf",
    "code": "https://aneeshan95.github.io/Sketch3T/",
    "bibtex": "@inproceedings{sain2022sketch3t,\n  title={Sketch3T: Test-Time Training for Zero-Shot SBIR},\n  author={Sain, Aneeshan and Bhunia, Ayan Kumar and Potlapalli, Vaishnav and Chowdhury, Pinaki Nath and Xiang, Tao and Song, Yi-Zhe},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  pages={7462--7471},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "towards_multi_domain_single_image_dehazi",
    "full": "Dehaze-TTT",
    "title": "Towards Multi-Domain Single Image Dehazing via Test-Time Training",
    "authors": "Huan Liu, Zijun Wu, Liangyan Li, Sadaf Salehkalaibar, Jun Chen, Keyan Wang",
    "venue": "CVPR 2022",
    "task": "Restoration",
    "task_fine": "Image Restoration",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2022/html/Liu_Towards_Multi-Domain_Single_Image_Dehazing_via_Test-Time_Training_CVPR_2022_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Towards_Multi-Domain_Single_Image_Dehazing_via_Test-Time_Training_CVPR_2022_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{liu2022dehazing,\n  title={Towards Multi-Domain Single Image Dehazing via Test-Time Training},\n  author={Liu, Huan and Wu, Zijun and Li, Liangyan and Salehkalaibar, Sadaf and Chen, Jun and Wang, Keyan},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  pages={5831--5840},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "uncertainty_aware_adaptation_for_self_su",
    "full": "UADA-3DPose",
    "title": "Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation",
    "authors": "Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu",
    "venue": "CVPR 2022",
    "task": "Regression",
    "task_fine": "Image Regression",
    "tags": [
      "3D/Point-Cloud",
      "Image"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2022/html/Kundu_Uncertainty-Aware_Adaptation_for_Self-Supervised_3D_Human_Pose_Estimation_CVPR_2022_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2022/papers/Kundu_Uncertainty-Aware_Adaptation_for_Self-Supervised_3D_Human_Pose_Estimation_CVPR_2022_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{kundu2022uncertainty,\n  title={Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation},\n  author={Kundu, Jogendra Nath and Seth, Siddharth and YM, Pradyumna and Jampani, Varun and Chakraborty, Anirban and Babu, R. Venkatesh},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  pages={20448--20459},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "improving_test_time_adaptation_via_shift",
    "full": "SWR-NSP",
    "title": "Improving Test-Time Adaptation via Shift-Agnostic Weight Regularization and Nearest Source Prototypes",
    "authors": "Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun",
    "venue": "ECCV 2022",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136930433.pdf",
    "pdf": "https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136930433.pdf",
    "code": "",
    "bibtex": "@inproceedings{choi2022swrnsp,\n  title={Improving Test-Time Adaptation via Shift-Agnostic Weight Regularization and Nearest Source Prototypes},\n  author={Choi, Sungha and Yang, Seunghan and Choi, Seokeon and Yun, Sungrack},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  pages={440--458},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "learning_instance_specific_adaptation_fo",
    "full": "InstCal",
    "title": "Learning Instance-Specific Adaptation for Cross-Domain Segmentation",
    "authors": "Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang",
    "venue": "ECCV 2022",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://link.springer.com/chapter/10.1007/978-3-031-19827-4_27",
    "pdf": "https://arxiv.org/pdf/2203.16530",
    "code": "https://github.com/Yuliang-Zou/InstCal-Pano",
    "bibtex": "@inproceedings{zou2022instcal,\n  title={Learning Instance-Specific Adaptation for Cross-Domain Segmentation},\n  author={Zou, Yuliang and Zhang, Zizhao and Li, Chun-Liang and Zhang, Han and Pfister, Tomas and Huang, Jia-Bin},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  pages={459--476},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "self_constrained_inference_optimization_",
    "full": "SCIO",
    "title": "Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation",
    "authors": "Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He",
    "venue": "ECCV 2022",
    "task": "Regression",
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136650718.pdf",
    "pdf": "https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136650718.pdf",
    "code": "",
    "bibtex": "@inproceedings{kan2022scio,\n  title={Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation},\n  author={Kan, Zhehan and Chen, Shuoshuo and Li, Zeng and He, Zhihai},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  pages={729--745},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "robustifying_vision_transformer_without_",
    "full": "CFA-ViT",
    "title": "Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment",
    "authors": "Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa",
    "venue": "IJCAI 2022",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://www.ijcai.org/proceedings/2022/141",
    "pdf": "https://arxiv.org/pdf/2206.13951",
    "code": "https://github.com/kojima-takeshi188/CFA",
    "bibtex": "@inproceedings{kojima2022cfa,\n  title={Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment},\n  author={Kojima, Takeshi and Matsuo, Yutaka and Iwasawa, Yusuke},\n  booktitle={Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI)},\n  pages={1009--1016},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "single_domain_generalization_in_medical_",
    "full": "TASD",
    "title": "Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary",
    "authors": "Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng",
    "venue": "AAAI 2022",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Medical"
    ],
    "url": "https://ojs.aaai.org/index.php/AAAI/article/view/20068",
    "pdf": "https://cdn.aaai.org/ojs/20068/20068-13-24081-1-2-20220628.pdf",
    "code": "",
    "bibtex": "@inproceedings{liu2022tasd,\n  title={Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary},\n  author={Liu, Quande and Chen, Cheng and Dou, Qi and Heng, Pheng-Ann},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  volume={36},\n  number={2},\n  pages={1756--1764},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "generalizable_person_re_identification_v",
    "full": "BNTA",
    "title": "Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption",
    "authors": "Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan",
    "venue": "AAAI 2022",
    "task": "Retrieval & Ranking",
    "task_fine": "Person Re-ID",
    "tags": [
      "Image",
      "Person-ReID"
    ],
    "url": "https://ojs.aaai.org/index.php/AAAI/article/view/19963",
    "pdf": "https://cdn.aaai.org/ojs/19963/19963-13-23976-1-2-20220628.pdf",
    "code": "",
    "bibtex": "@inproceedings{han2022bnta,\n  title={Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption},\n  author={Han, Ke and Si, Chenyang and Huang, Yan and Wang, Liang and Tan, Tieniu},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  volume={36},\n  number={1},\n  pages={817--825},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "self_supervised_aggregation_of_diverse_e",
    "full": "SADE",
    "title": "Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition",
    "authors": "Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng",
    "venue": "NeurIPS 2022",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Label-Shift"
    ],
    "url": "https://proceedings.neurips.cc/paper_files/paper/2022/hash/dc6319dde4fb182b22fb902da9418566-Abstract-Conference.html",
    "pdf": "https://arxiv.org/pdf/2107.09249",
    "code": "https://github.com/Vanint/SADE-AgnosticLT",
    "bibtex": "@inproceedings{zhang2022sade,\n  title={Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition},\n  author={Zhang, Yifan and Hooi, Bryan and Hong, Lanqing and Feng, Jiashi},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  volume={35},\n  pages={34077--34090},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "ost_improving_generalization_of_deepfake",
    "full": "OST",
    "title": "OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training",
    "authors": "Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu",
    "venue": "NeurIPS 2022",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://proceedings.neurips.cc/paper_files/paper/2022/hash/9bf0810a4a1597a36d27ceea58667d92-Abstract-Conference.html",
    "pdf": "https://papers.neurips.cc/paper_files/paper/2022/file/9bf0810a4a1597a36d27ceea58667d92-Paper-Conference.pdf",
    "code": "https://github.com/liangchen527/OST",
    "bibtex": "@inproceedings{chen2022ost,\n  title={OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training},\n  author={Chen, Liang and Zhang, Yong and Song, Yibing and Wang, Jue and Liu, Lingqiao},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  volume={35},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "meta_dmoe_adapting_to_domain_shift_by_me",
    "full": "Meta-DMoE",
    "title": "Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts",
    "authors": "Tao Zhong, Zhixiang Chi, Li Gu, Yang Wang, Yuanhao Yu, Jin Tang",
    "venue": "NeurIPS 2022",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ],
    "url": "https://proceedings.neurips.cc/paper_files/paper/2022/hash/8bd4f1dbc7a70c6b80ce81b8b4fdc0b2-Abstract-Conference.html",
    "pdf": "https://arxiv.org/pdf/2210.03885",
    "code": "https://github.com/n3il666/Meta-DMoE",
    "bibtex": "@inproceedings{zhong2022metadmoe,\n  title={Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts},\n  author={Zhong, Tao and Chi, Zhixiang and Gu, Li and Wang, Yang and Yu, Yuanhao and Tang, Jin},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  volume={35},\n  pages={22243--22257},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "test_time_training_can_close_the_natural",
    "full": "",
    "title": "Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing",
    "authors": "Mohammad Zalbagi Darestani, Jiayu Liu, Reinhard Heckel",
    "venue": "ICML 2022",
    "task": "Restoration",
    "task_fine": "Image Restoration",
    "tags": [
      "Image"
    ],
    "url": "https://proceedings.mlr.press/v162/darestani22a.html",
    "pdf": "https://arxiv.org/pdf/2204.07204",
    "code": "https://github.com/MLI-lab/ttt_for_deep_learning_cs",
    "bibtex": "@inproceedings{darestani2022ttt,\n  title={Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing},\n  author={Darestani, Mohammad Zalbagi and Liu, Jiayu and Heckel, Reinhard},\n  booktitle={Proceedings of the 39th International Conference on Machine Learning (ICML)},\n  volume={162},\n  pages={4754--4776},\n  year={2022}\n}",
    "presentation": "Spotlight"
  },
  {
    "slug": "learning_to_generalize_across_domains_on",
    "full": "SSGen",
    "title": "Learning to Generalize Across Domains on Single Test Samples",
    "authors": "Zehao Xiao, Xiantong Zhen, Ling Shao, Cees G. M. Snoek",
    "venue": "ICLR 2022",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://openreview.net/forum?id=CIaQKbTBwtU",
    "pdf": "https://arxiv.org/pdf/2202.08045",
    "code": "https://github.com/zzzx1224/SingleSampleGeneralization-ICLR2022",
    "bibtex": "@inproceedings{xiao2022ssgen,\n  title={Learning to Generalize Across Domains on Single Test Samples},\n  author={Xiao, Zehao and Zhen, Xiantong and Shao, Ling and Snoek, Cees G. M.},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "test_time_adaptation_with_shape_moments_",
    "full": "SEM",
    "title": "Test-Time Adaptation with Shape Moments for Image Segmentation",
    "authors": "Mathilde Bateson, Herve Lombaert, Ismail Ben Ayed",
    "venue": "MICCAI 2022",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image"
    ],
    "url": "https://link.springer.com/chapter/10.1007/978-3-031-16440-8_70",
    "pdf": "https://arxiv.org/pdf/2205.07983",
    "code": "https://github.com/mathilde-b/TTA",
    "bibtex": "@inproceedings{bateson2022ttas,\n  title={Test-Time Adaptation with Shape Moments for Image Segmentation},\n  author={Bateson, Mathilde and Lombaert, Herve and Ben Ayed, Ismail},\n  booktitle={Medical Image Computing and Computer Assisted Intervention (MICCAI)},\n  volume={13434},\n  pages={736--745},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "auxadapt_stable_and_efficient_test_time_",
    "full": "AuxAdapt",
    "title": "AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation",
    "authors": "Yizhe Zhang, Shubhankar Borse, Hong Cai, Fatih Porikli",
    "venue": "WACV 2022",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Video",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/WACV2022/html/Zhang_AuxAdapt_Stable_and_Efficient_Test-Time_Adaptation_for_Temporally_Consistent_Video_WACV_2022_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/WACV2022/papers/Zhang_AuxAdapt_Stable_and_Efficient_Test-Time_Adaptation_for_Temporally_Consistent_Video_WACV_2022_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhang2022auxadapt,\n  title={AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation},\n  author={Zhang, Yizhe and Borse, Shubhankar and Cai, Hong and Porikli, Fatih},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  pages={2633--2642},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "self_supervised_test_time_adaptation_on_",
    "full": "SSTTA-Video",
    "title": "Self-Supervised Test-Time Adaptation on Video Data",
    "authors": "Fatemeh Azimi, Sebastian Palacio, Federico Raue, Joern Hees, Luca Bertinetto, Andreas Dengel",
    "venue": "WACV 2022",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Video",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/WACV2022/html/Azimi_Self-Supervised_Test-Time_Adaptation_on_Video_Data_WACV_2022_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/WACV2022/papers/Azimi_Self-Supervised_Test-Time_Adaptation_on_Video_Data_WACV_2022_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{azimi2022sstta,\n  title={Self-Supervised Test-Time Adaptation on Video Data},\n  author={Azimi, Fatemeh and Palacio, Sebastian and Raue, Federico and Hees, Joern and Bertinetto, Luca and Dengel, Andreas},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  pages={3439--3448},\n  year={2022}\n}",
    "presentation": ""
  },
  {
    "slug": "improved_test_time_adaptation_for_domain",
    "full": "ITTA",
    "title": "Improved Test-Time Adaptation for Domain Generalization",
    "authors": "Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu",
    "venue": "CVPR 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2023/html/Chen_Improved_Test-Time_Adaptation_for_Domain_Generalization_CVPR_2023_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2023/papers/Chen_Improved_Test-Time_Adaptation_for_Domain_Generalization_CVPR_2023_paper.pdf",
    "code": "https://github.com/liangchen527/ITTA",
    "bibtex": "@inproceedings{chen2023improved,\n  title={Improved Test-Time Adaptation for Domain Generalization},\n  author={Chen, Liang and Zhang, Yong and Song, Yibing and Shan, Ying and Liu, Lingqiao},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  pages={24172--24182},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "feature_alignment_and_uniformity_for_tes",
    "full": "TSD",
    "title": "Feature Alignment and Uniformity for Test Time Adaptation",
    "authors": "Shuai Wang, Daoan Zhang, Zipei Yan, Jianguo Zhang, Rui Li",
    "venue": "CVPR 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2023/html/Wang_Feature_Alignment_and_Uniformity_for_Test_Time_Adaptation_CVPR_2023_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Feature_Alignment_and_Uniformity_for_Test_Time_Adaptation_CVPR_2023_paper.pdf",
    "code": "https://github.com/SakurajimaMaiii/TSD",
    "bibtex": "@inproceedings{wang2023feature,\n  title={Feature Alignment and Uniformity for Test Time Adaptation},\n  author={Wang, Shuai and Zhang, Daoan and Yan, Zipei and Zhang, Jianguo and Li, Rui},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "tta_cope_test_time_adaptation_for_catego",
    "full": "TTA-COPE",
    "title": "TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation",
    "authors": "Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon",
    "venue": "CVPR 2023",
    "task": "Detection",
    "task_fine": "Object Detection",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2023/html/Lee_TTA-COPE_Test-Time_Adaptation_for_Category-Level_Object_Pose_Estimation_CVPR_2023_paper.html",
    "pdf": "https://arxiv.org/pdf/2303.16730",
    "code": "",
    "bibtex": "@inproceedings{lee2023ttacope,\n  title={TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation},\n  author={Lee, Taeyeop and Tremblay, Jonathan and Blukis, Valts and Wen, Bowen and Lee, Byeong-Uk and Shin, Inkyu and Birchfield, Stan and Kweon, In So and Yoon, Kuk-Jin},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "domainadaptor_a_novel_approach_to_test_t",
    "full": "DomainAdaptor",
    "title": "DomainAdaptor: A Novel Approach to Test-time Adaptation",
    "authors": "Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao",
    "venue": "ICCV 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ],
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Zhang_DomainAdaptor_A_Novel_Approach_to_Test-time_Adaptation_ICCV_2023_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2023/papers/Zhang_DomainAdaptor_A_Novel_Approach_to_Test-time_Adaptation_ICCV_2023_paper.pdf",
    "code": "https://github.com/koncle/DomainAdaptor",
    "bibtex": "@inproceedings{zhang2023domainadaptor,\n  title={DomainAdaptor: A Novel Approach to Test-time Adaptation},\n  author={Zhang, Jian and Qi, Lei and Shi, Yinghuan and Gao, Yang},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "towards_open_set_test_time_adaptation_ut",
    "full": "",
    "title": "Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization",
    "authors": "Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi",
    "venue": "ICCV 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Open-set",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Lee_Towards_Open-Set_Test-Time_Adaptation_Utilizing_the_Wisdom_of_Crowds_in_ICCV_2023_paper.html",
    "pdf": "https://arxiv.org/pdf/2308.06879",
    "code": "",
    "bibtex": "@inproceedings{lee2023towards,\n  title={Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization},\n  author={Lee, Jungsoo and Das, Debasmit and Choo, Jaegul and Choi, Sungha},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "label_shift_adapter_for_test_time_adapta",
    "full": "",
    "title": "Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts",
    "authors": "Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun",
    "venue": "ICCV 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Label-Shift",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Park_Label_Shift_Adapter_for_Test-Time_Adaptation_under_Covariate_and_Label_ICCV_2023_paper.html",
    "pdf": "https://arxiv.org/pdf/2308.08810",
    "code": "",
    "bibtex": "@inproceedings{park2023label,\n  title={Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts},\n  author={Park, Sunghyun and Yang, Seunghan and Choo, Jaegul and Yun, Sungrack},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "multi_modal_continual_test_time_adaptati",
    "full": "CoMAC",
    "title": "Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation",
    "authors": "Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Shenghai Yuan, Lihua Xie",
    "venue": "ICCV 2023",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Multimodal",
      "Continual"
    ],
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Cao_Multi-Modal_Continual_Test-Time_Adaptation_for_3D_Semantic_Segmentation_ICCV_2023_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2023/papers/Cao_Multi-Modal_Continual_Test-Time_Adaptation_for_3D_Semantic_Segmentation_ICCV_2023_paper.pdf",
    "code": "https://sites.google.com/view/mmcotta",
    "bibtex": "@inproceedings{cao2023multimodal,\n  title={Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation},\n  author={Cao, Haozhi and Xu, Yuecong and Yang, Jianfei and Yin, Pengyu and Yuan, Shenghai and Xie, Lihua},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  pages={18809--18819},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "contrastive_model_adaptation_for_cross_c",
    "full": "CMA",
    "title": "Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation",
    "authors": "David Bruggemann, Christos Sakaridis, Tim Broedermann, Luc Van Gool",
    "venue": "ICCV 2023",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Continual"
    ],
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Bruggemann_Contrastive_Model_Adaptation_for_Cross-Condition_Robustness_in_Semantic_Segmentation_ICCV_2023_paper.html",
    "pdf": "https://arxiv.org/pdf/2303.05194",
    "code": "https://github.com/brdav/cma",
    "bibtex": "@inproceedings{bruggemann2023contrastive,\n  title={Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation},\n  author={Bruggemann, David and Sakaridis, Christos and Broedermann, Tim and Van Gool, Luc},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "rapid_network_adaptation_learning_to_ada",
    "full": "RNA",
    "title": "Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback",
    "authors": "Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir",
    "venue": "ICCV 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ],
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Yeo_Rapid_Network_Adaptation_Learning_to_Adapt_Neural_Networks_Using_Test-Time_ICCV_2023_paper.html",
    "pdf": "https://arxiv.org/pdf/2309.15762",
    "code": "https://github.com/EPFL-VILAB/RapidNetworkAdaptation",
    "bibtex": "@inproceedings{yeo2023rapid,\n  title={Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback},\n  author={Yeo, Teresa and Kar, Oguzhan Fatih and Sodagar, Zahra and Zamir, Amir},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "point_tta_test_time_adaptation_for_point",
    "full": "Point-TTA",
    "title": "Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning",
    "authors": "Ahmed Hatem, Yiming Qian, Yang Wang",
    "venue": "ICCV 2023",
    "task": "Classification",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Single-image"
    ],
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Hatem_Point-TTA_Test-Time_Adaptation_for_Point_Cloud_Registration_Using_Multitask_Meta-Auxiliary_ICCV_2023_paper.html",
    "pdf": "https://arxiv.org/pdf/2308.16481",
    "code": "",
    "bibtex": "@inproceedings{hatem2023pointtta,\n  title={Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning},\n  author={Hatem, Ahmed and Qian, Yiming and Wang, Yang},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "test_time_adaptation_for_blind_image_qua",
    "full": "TTA-IQA",
    "title": "Test Time Adaptation for Blind Image Quality Assessment",
    "authors": "Subhadeep Roy, Shankhanil Mitra, Soma Biswas, Rajiv Soundararajan",
    "venue": "ICCV 2023",
    "task": "Regression",
    "task_fine": "Image Regression",
    "tags": [
      "Image"
    ],
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Roy_Test_Time_Adaptation_for_Blind_Image_Quality_Assessment_ICCV_2023_paper.html",
    "pdf": "https://arxiv.org/pdf/2307.14735",
    "code": "https://github.com/Shankhanil006/TTA-IQA",
    "bibtex": "@inproceedings{roy2023test,\n  title={Test Time Adaptation for Blind Image Quality Assessment},\n  author={Roy, Subhadeep and Mitra, Shankhanil and Biswas, Soma and Soundararajan, Rajiv},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "a_unified_framework_for_robustness_on_di",
    "full": "IAI",
    "title": "A Unified Framework for Robustness on Diverse Sampling Errors",
    "authors": "Myeongho Jeon, Myungjoo Kang, Joonseok Lee",
    "venue": "ICCV 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Label-Shift",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/ICCV2023/html/Jeon_A_Unified_Framework_for_Robustness_on_Diverse_Sampling_Errors_ICCV_2023_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/ICCV2023/papers/Jeon_A_Unified_Framework_for_Robustness_on_Diverse_Sampling_Errors_ICCV_2023_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{jeon2023unified,\n  title={A Unified Framework for Robustness on Diverse Sampling Errors},\n  author={Jeon, Myeongho and Kang, Myungjoo and Lee, Joonseok},\n  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "atta_anomaly_aware_test_time_adaptation_",
    "full": "ATTA",
    "title": "ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation",
    "authors": "Zhitong Gao, Shipeng Yan, Xuming He",
    "venue": "NeurIPS 2023",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Open-set",
      "Continual"
    ],
    "url": "https://openreview.net/forum?id=bGcdjXrU2w",
    "pdf": "https://arxiv.org/pdf/2309.05994",
    "code": "https://github.com/gaozhitong/ATTA",
    "bibtex": "@inproceedings{gao2023atta,\n  title={ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation},\n  author={Gao, Zhitong and Yan, Shipeng and He, Xuming},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "beyond_invariance_test_time_label_shift_",
    "full": "TTLSA",
    "title": "Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing \"Spurious\" Correlations",
    "authors": "Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour",
    "venue": "NeurIPS 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Label-Shift"
    ],
    "url": "https://proceedings.neurips.cc/paper_files/paper/2023/hash/4b0c1645f3d6a1730931e65ecbf91ac3-Abstract-Conference.html",
    "pdf": "https://arxiv.org/pdf/2211.15646",
    "code": "https://github.com/nalzok/test-time-label-shift",
    "bibtex": "@inproceedings{sun2023beyond,\n  title={Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing ``Spurious'' Correlations},\n  author={Sun, Qingyao and Murphy, Kevin and Ebrahimi, Sayna and D'Amour, Alexander},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "convolutional_visual_prompt_for_robust_v",
    "full": "CVP",
    "title": "Convolutional Visual Prompt for Robust Visual Perception",
    "authors": "Yun-Yun Tsai, Chengzhi Mao, Junfeng Yang",
    "venue": "NeurIPS 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Vision-Language",
      "Single-image"
    ],
    "url": "https://openreview.net/forum?id=qgmrC8jhCo",
    "pdf": "https://arxiv.org/pdf/2303.00198",
    "code": "",
    "bibtex": "@inproceedings{tsai2023convolutional,\n  title={Convolutional Visual Prompt for Robust Visual Perception},\n  author={Tsai, Yun-Yun and Mao, Chengzhi and Yang, Junfeng},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "test_time_training_for_matching_based_vi",
    "full": "TT-MCC",
    "title": "Test-time Training for Matching-based Video Object Segmentation",
    "authors": "Juliette Bertrand, Giorgos Kordopatis-Zilos, Yannis Kalantidis, Giorgos Tolias",
    "venue": "NeurIPS 2023",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Video"
    ],
    "url": "https://proceedings.neurips.cc/paper_files/paper/2023/hash/4267d84ca2f6fbb4aa5172b76b433aca-Abstract-Conference.html",
    "pdf": "https://papers.nips.cc/paper_files/paper/2023/file/4267d84ca2f6fbb4aa5172b76b433aca-Paper-Conference.pdf",
    "code": "https://jbertrand89.github.io/test-time-training-vos/",
    "bibtex": "@inproceedings{bertrand2023testtime,\n  title={Test-time Training for Matching-based Video Object Segmentation},\n  author={Bertrand, Juliette and Kordopatis-Zilos, Giorgos and Kalantidis, Yannis and Tolias, Giorgos},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "is_heterogeneity_notorious_taming_hetero",
    "full": "FedICON",
    "title": "Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning",
    "authors": "Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long",
    "venue": "NeurIPS 2023",
    "task": "Classification",
    "task_fine": "Federated TTA",
    "tags": [
      "Image",
      "Federated"
    ],
    "url": "https://proceedings.neurips.cc/paper_files/paper/2023/hash/565f995643da6329cec701f26f8579f5-Abstract-Conference.html",
    "pdf": "https://openreview.net/pdf?id=qJJmu4qsLO",
    "code": "",
    "bibtex": "@inproceedings{tan2023heterogeneity,\n  title={Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning},\n  author={Tan, Yue and Chen, Chen and Zhuang, Weiming and Dong, Xin and Lyu, Lingjuan and Long, Guodong},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "test_time_adaptation_with_slot_centric_m",
    "full": "Slot-TTA",
    "title": "Test-time Adaptation with Slot-Centric Models",
    "authors": "Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki",
    "venue": "ICML 2023",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image"
    ],
    "url": "https://proceedings.mlr.press/v202/prabhudesai23a.html",
    "pdf": "https://proceedings.mlr.press/v202/prabhudesai23a/prabhudesai23a.pdf",
    "code": "https://slot-tta.github.io/",
    "bibtex": "@inproceedings{prabhudesai2023slottta,\n  title={Test-time Adaptation with Slot-Centric Models},\n  author={Prabhudesai, Mihir and Goyal, Anirudh and Paul, Sujoy and van Steenkiste, Sjoerd and Sajjadi, Mehdi S. M. and Aggarwal, Gaurav and Kipf, Thomas and Pathak, Deepak and Fragkiadaki, Katerina},\n  booktitle={Proceedings of the 40th International Conference on Machine Learning (ICML)},\n  pages={28151--28166},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "vpa_fully_test_time_visual_prompt_adapta",
    "full": "VPA",
    "title": "VPA: Fully Test-Time Visual Prompt Adaptation",
    "authors": "Jiachen Sun, Mark Ibrahim, Melissa Hall, Ivan Evtimov, Z. Morley Mao, Cristian Canton Ferrer, Caner Hazirbas",
    "venue": "ACM MM 2023",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Vision-Language",
      "Online"
    ],
    "url": "https://dl.acm.org/doi/10.1145/3581783.3611835",
    "pdf": "https://arxiv.org/pdf/2309.15251",
    "code": "",
    "bibtex": "@inproceedings{sun2023vpa,\n  title={VPA: Fully Test-Time Visual Prompt Adaptation},\n  author={Sun, Jiachen and Ibrahim, Mark and Hall, Melissa and Evtimov, Ivan and Mao, Z. Morley and Canton Ferrer, Cristian and Hazirbas, Caner},\n  booktitle={Proceedings of the 31st ACM International Conference on Multimedia (ACM MM)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "exploring_motion_cues_for_video_test_tim",
    "full": "AME",
    "title": "Exploring Motion Cues for Video Test-Time Adaptation",
    "authors": "Runhao Zeng, Qi Deng, Huixuan Xu, Shuaicheng Niu, Jian Chen",
    "venue": "ACM MM 2023",
    "task": "Classification",
    "task_fine": "Activity Recognition",
    "tags": [
      "Video",
      "Online"
    ],
    "url": "https://dl.acm.org/doi/10.1145/3581783.3612153",
    "pdf": "https://dl.acm.org/doi/10.1145/3581783.3612153",
    "code": "",
    "bibtex": "@inproceedings{zeng2023exploring,\n  title={Exploring Motion Cues for Video Test-Time Adaptation},\n  author={Zeng, Runhao and Deng, Qi and Xu, Huixuan and Niu, Shuaicheng and Chen, Jian},\n  booktitle={Proceedings of the 31st ACM International Conference on Multimedia (ACM MM)},\n  pages={1840--1850},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "fstta",
    "full": "FSTTA",
    "title": "Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation",
    "authors": "Junyu Gao, Xuan Yao, Changsheng Xu",
    "venue": "ICML 2024",
    "task": "Decision-Making",
    "task_fine": "Reinforcement Learning",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2311.13209",
    "pdf": "https://arxiv.org/pdf/2311.13209",
    "code": "https://github.com/Feliciaxyao/ICML2024-FSTTA",
    "bibtex": "@inproceedings{gao2024fastslow,\n  title={Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation},\n  author={Gao, Junyu and Yao, Xuan and Xu, Changsheng},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "tao",
    "full": "TAO",
    "title": "Test-Time Degradation Adaptation for Open-Set Image Restoration",
    "authors": "Yuanbiao Gou, Haiyu Zhao, Boyun Li, Xinyan Xiao, Xi Peng",
    "venue": "ICML 2024",
    "task": "Restoration",
    "task_fine": "Image Restoration",
    "tags": [
      "Image",
      "Open-set"
    ],
    "url": "https://proceedings.mlr.press/v235/gou24a.html",
    "pdf": "https://arxiv.org/pdf/2312.02197",
    "code": "https://github.com/XLearning-SCU/2024-ICML-TAO",
    "bibtex": "@inproceedings{gou2024testtime,\n  title={Test-Time Degradation Adaptation for Open-Set Image Restoration},\n  author={Gou, Yuanbiao and Zhao, Haiyu and Li, Boyun and Xiao, Xinyan and Peng, Xi},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2024}\n}",
    "presentation": "Spotlight"
  },
  {
    "slug": "slwi",
    "full": "SLWI",
    "title": "Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation",
    "authors": "Jae-Hong Lee, Joon-Hyuk Chang",
    "venue": "ICML 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://proceedings.mlr.press/v235/lee24b.html",
    "pdf": "https://proceedings.mlr.press/v235/lee24b/lee24b.pdf",
    "code": "",
    "bibtex": "@inproceedings{lee2024stationary,\n  title={Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation},\n  author={Lee, Jae-Hong and Chang, Joon-Hyuk},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "dart",
    "full": "DART",
    "title": "DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation",
    "authors": "Zichen Liu, Hongbo Sun, Yuxin Peng, Jiahuan Zhou",
    "venue": "AAAI 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Vision-Language",
      "Online",
      "Continual"
    ],
    "url": "https://ojs.aaai.org/index.php/AAAI/article/view/29320",
    "pdf": "https://zhoujiahuan1991.github.io/pub/AAAI2024_DART.pdf",
    "code": "https://github.com/zhoujiahuan1991/AAAI2024-DART",
    "bibtex": "@inproceedings{liu2024dart,\n  title={DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation},\n  author={Liu, Zichen and Sun, Hongbo and Peng, Yuxin and Zhou, Jiahuan},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "svp_ftta",
    "full": "SVP-FTTA",
    "title": "Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation",
    "authors": "Houcheng Su, Mengzhu Wang, Daixian Liu, Wei Wang",
    "venue": "AAAI 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2312.08378",
    "pdf": "https://arxiv.org/pdf/2312.08378",
    "code": "",
    "bibtex": "@inproceedings{su2024singular,\n  title={Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation},\n  author={Su, Houcheng and Wang, Mengzhu and Liu, Daixian and Wang, Wei},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "sgtta",
    "full": "SGTTA",
    "title": "Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration",
    "authors": "Shenglong Zhou, Zhiwei Xiong, Feng Wu",
    "venue": "AAAI 2024",
    "task": "Classification",
    "task_fine": "Medical Image Classification",
    "tags": [
      "Image",
      "Medical"
    ],
    "url": "https://ojs.aaai.org/index.php/AAAI/article/view/28601",
    "pdf": "https://ojs.aaai.org/index.php/AAAI/article/view/28601",
    "code": "",
    "bibtex": "@inproceedings{zhou2024sgtta,\n  title={Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration},\n  author={Zhou, Shenglong and Xiong, Zhiwei and Wu, Feng},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "svdp",
    "full": "SVDP",
    "title": "Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction",
    "authors": "Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang",
    "venue": "AAAI 2024",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Vision-Language",
      "Continual"
    ],
    "url": "https://ojs.aaai.org/index.php/AAAI/article/view/29569",
    "pdf": "https://arxiv.org/pdf/2303.09792",
    "code": "https://github.com/senqiaoyang/SVDP",
    "bibtex": "@inproceedings{yang2024exploring,\n  title={Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction},\n  author={Yang, Senqiao and Wu, Jiarui and Liu, Jiaming and Li, Xiaoqi and Zhang, Qizhe and Pan, Mingjie and Gan, Yulu and Chen, Zehui and Zhang, Shanghang},\n  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "cema",
    "full": "CEMA",
    "title": "Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation",
    "authors": "Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song, Mingkui Tan",
    "venue": "ICLR 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://openreview.net/forum?id=vePdNU3u6n",
    "pdf": "https://arxiv.org/pdf/2402.17316",
    "code": "https://github.com/chenyaofo/CEMA",
    "bibtex": "@inproceedings{chen2024towards,\n  title={Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation},\n  author={Chen, Yaofo and Niu, Shuaicheng and Wang, Yaowei and Xu, Shoukai and Song, Hengjie and Tan, Mingkui},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "program",
    "full": "PROGRAM",
    "title": "PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation",
    "authors": "Haopeng Sun, Lumin Xu, Sheng Jin, Ping Luo, Chen Qian, Wentao Liu",
    "venue": "ICLR 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Graph",
      "Image",
      "Online"
    ],
    "url": "https://openreview.net/forum?id=x5LvBK43wg",
    "pdf": "https://openreview.net/pdf?id=x5LvBK43wg",
    "code": "",
    "bibtex": "@inproceedings{sun2024program,\n  title={PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation},\n  author={Sun, Haopeng and Xu, Lumin and Jin, Sheng and Luo, Ping and Qian, Chen and Liu, Wentao},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "ist",
    "full": "IST",
    "title": "Improved Self-Training for Test-Time Adaptation",
    "authors": "Jing Ma",
    "venue": "CVPR 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2024/html/Ma_Improved_Self-Training_for_Test-Time_Adaptation_CVPR_2024_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2024/papers/Ma_Improved_Self-Training_for_Test-Time_Adaptation_CVPR_2024_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{ma2024improved,\n  title={Improved Self-Training for Test-Time Adaptation},\n  author={Ma, Jing},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "vptta",
    "full": "VPTTA",
    "title": "Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation",
    "authors": "Ziyang Chen, Yongsheng Pan, Yiwen Ye, Mengkang Lu, Yong Xia",
    "venue": "CVPR 2024",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Medical",
      "Vision-Language",
      "Continual"
    ],
    "url": "https://arxiv.org/abs/2311.18363",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2024/papers/Chen_Each_Test_Image_Deserves_A_Specific_Prompt_Continual_Test-Time_Adaptation_CVPR_2024_paper.pdf",
    "code": "https://github.com/Chen-Ziyang/VPTTA",
    "bibtex": "@inproceedings{chen2024each,\n  title={Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation},\n  author={Chen, Ziyang and Pan, Yongsheng and Ye, Yiwen and Lu, Mengkang and Xia, Yong},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "versatile_ctta",
    "full": "Versatile-CTTA",
    "title": "A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability",
    "authors": "Xu Yang, Xuan Chen, Moqi Li, Kun Wei, Cheng Deng",
    "venue": "CVPR 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2024/html/Yang_A_Versatile_Framework_for_Continual_Test-Time_Domain_Adaptation_Balancing_Discriminability_CVPR_2024_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2024/papers/Yang_A_Versatile_Framework_for_Continual_Test-Time_Domain_Adaptation_Balancing_Discriminability_CVPR_2024_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{yang2024versatile,\n  title={A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability},\n  author={Yang, Xu and Chen, Xuan and Li, Moqi and Wei, Kun and Deng, Cheng},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "medbn",
    "full": "MedBN",
    "title": "MedBN: Robust Test-Time Adaptation against Malicious Test Samples",
    "authors": "Hyejin Park, Jeongyeon Hwang, Sunung Mun, Sangdon Park, Jungseul Ok",
    "venue": "CVPR 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Adversarial"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2024/html/Park_MedBN_Robust_Test-Time_Adaptation_against_Malicious_Test_Samples_CVPR_2024_paper.html",
    "pdf": "https://arxiv.org/pdf/2403.19326",
    "code": "https://github.com/ml-postech/MedBN-robust-test-time-adaptation",
    "bibtex": "@inproceedings{park2024medbn,\n  title={MedBN: Robust Test-Time Adaptation against Malicious Test Samples},\n  author={Park, Hyejin and Hwang, Jeongyeon and Mun, Sunung and Park, Sangdon and Ok, Jungseul},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "t3al",
    "full": "T3AL",
    "title": "Test-Time Zero-Shot Temporal Action Localization",
    "authors": "Benedetta Liberatori, Alessandro Conti, Paolo Rota, Yiming Wang, Elisa Ricci",
    "venue": "CVPR 2024",
    "task": "Classification",
    "task_fine": "Activity Recognition",
    "tags": [
      "Video",
      "Single-image"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2024/html/Liberatori_Test-Time_Zero-Shot_Temporal_Action_Localization_CVPR_2024_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2024/papers/Liberatori_Test-Time_Zero-Shot_Temporal_Action_Localization_CVPR_2024_paper.pdf",
    "code": "https://github.com/benedettaliberatori/T3AL",
    "bibtex": "@inproceedings{liberatori2024testtime,\n  title={Test-Time Zero-Shot Temporal Action Localization},\n  author={Liberatori, Benedetta and Conti, Alessandro and Rota, Paolo and Wang, Yiming and Ricci, Elisa},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "tta_evf",
    "full": "TTA-EVF",
    "title": "TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation",
    "authors": "Hoonhee Cho, Taewoo Kim, Yuhwan Jeong, Kuk-Jin Yoon",
    "venue": "CVPR 2024",
    "task": "Restoration",
    "task_fine": "Image Restoration",
    "tags": [
      "Image",
      "Video",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2024/html/Cho_TTA-EVF_Test-Time_Adaptation_for_Event-based_Video_Frame_Interpolation_via_Reliable_CVPR_2024_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2024/papers/Cho_TTA-EVF_Test-Time_Adaptation_for_Event-based_Video_Frame_Interpolation_via_Reliable_CVPR_2024_paper.pdf",
    "code": "https://github.com/Chohoonhee/TTA-EVF",
    "bibtex": "@inproceedings{cho2024ttaevf,\n  title={TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation},\n  author={Cho, Hoonhee and Kim, Taewoo and Jeong, Yuhwan and Yoon, Kuk-Jin},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "lan",
    "full": "LAN",
    "title": "LAN: Learning to Adapt Noise for Image Denoising",
    "authors": "Changjin Kim, Tae Hyun Kim, Sungyong Baik",
    "venue": "CVPR 2024",
    "task": "Restoration",
    "task_fine": "Image Restoration",
    "tags": [
      "Image"
    ],
    "url": "https://openaccess.thecvf.com/content/CVPR2024/html/Kim_LAN_Learning_to_Adapt_Noise_for_Image_Denoising_CVPR_2024_paper.html",
    "pdf": "https://arxiv.org/pdf/2412.10651",
    "code": "",
    "bibtex": "@inproceedings{kim2024lan,\n  title={LAN: Learning to Adapt Noise for Image Denoising},\n  author={Kim, Changjin and Kim, Tae Hyun and Baik, Sungyong},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "da_tta",
    "full": "DA-TTA",
    "title": "Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams",
    "authors": "Ziqiang Wang, Zhixiang Chi, Yanan Wu, Li Gu, Zhi Liu, Konstantinos N. Plataniotis, Yang Wang",
    "venue": "ECCV 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Mixed/Non-i.i.d."
    ],
    "url": "https://link.springer.com/chapter/10.1007/978-3-031-72691-0_19",
    "pdf": "https://arxiv.org/pdf/2407.12128",
    "code": "",
    "bibtex": "@inproceedings{wang2024distribution,\n  title={Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams},\n  author={Wang, Ziqiang and Chi, Zhixiang and Wu, Yanan and Gu, Li and Liu, Zhi and Plataniotis, Konstantinos N. and Wang, Yang},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "dpal",
    "full": "DPAL",
    "title": "Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation",
    "authors": "Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He",
    "venue": "ECCV 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://link.springer.com/chapter/10.1007/978-3-031-72855-6_20",
    "pdf": "https://arxiv.org/pdf/2408.13983",
    "code": "https://github.com/yushuntang/DPAL",
    "bibtex": "@inproceedings{tang2024dualpath,\n  title={Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation},\n  author={Tang, Yushun and Chen, Shuoshuo and Lu, Zhihe and Wang, Xinchao and He, Zhihai},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "hgl",
    "full": "HGL",
    "title": "HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation",
    "authors": "Tianpei Zou, Sanqing Qu, Zhijun Li, Alois Knoll, Lianghua He, Guang Chen, Changjun Jiang",
    "venue": "ECCV 2024",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "3D/Point-Cloud",
      "Image"
    ],
    "url": "https://arxiv.org/abs/2407.12387",
    "pdf": "https://arxiv.org/pdf/2407.12387",
    "code": "https://github.com/tpzou/HGL",
    "bibtex": "@inproceedings{zou2024hgl,\n  title={HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation},\n  author={Zou, Tianpei and Qu, Sanqing and Li, Zhijun and Knoll, Alois and He, Lianghua and Chen, Guang and Jiang, Changjun},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "hocotta",
    "full": "HoCoTTA",
    "title": "Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-Time Adaptation Framework",
    "authors": "Qiongjie Cui, Huaijiang Sun, Weiqing Li, Jianfeng Lu, Bin Li",
    "venue": "ECCV 2024",
    "task": "Regression",
    "task_fine": "Time-Series Forecasting",
    "tags": [
      "Time-Series",
      "Video",
      "Continual"
    ],
    "url": "https://link.springer.com/chapter/10.1007/978-3-031-72933-1_25",
    "pdf": "https://link.springer.com/chapter/10.1007/978-3-031-72933-1_25",
    "code": "",
    "bibtex": "@inproceedings{cui2024human,\n  title={Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-Time Adaptation Framework},\n  author={Cui, Qiongjie and Sun, Huaijiang and Li, Weiqing and Lu, Jianfeng and Li, Bin},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "bi_tta",
    "full": "Bi-TTA",
    "title": "Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement",
    "authors": "Haodong Li, Hao Lu, Ying-Cong Chen",
    "venue": "ECCV 2024",
    "task": "Regression",
    "task_fine": "Image Regression",
    "tags": [
      "Image",
      "Remote-Sensing"
    ],
    "url": "https://arxiv.org/abs/2409.17316",
    "pdf": "https://arxiv.org/pdf/2409.17316",
    "code": "",
    "bibtex": "@inproceedings{li2024bitta,\n  title={Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement},\n  author={Li, Haodong and Lu, Hao and Chen, Ying-Cong},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "decorruptor",
    "full": "Decorruptor",
    "title": "Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation",
    "authors": "Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon",
    "venue": "ECCV 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ],
    "url": "https://link.springer.com/chapter/10.1007/978-3-031-72943-0_11",
    "pdf": "https://arxiv.org/pdf/2403.10911",
    "code": "https://github.com/oyt9306/Decorruptor",
    "bibtex": "@inproceedings{oh2024efficient,\n  title={Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation},\n  author={Oh, Yeongtak and Lee, Jonghyun and Choi, Jooyoung and Jung, Dahuin and Hwang, Uiwon and Yoon, Sungroh},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "dadeblur",
    "full": "DADeblur",
    "title": "Domain-Adaptive Video Deblurring via Test-Time Blurring",
    "authors": "Jin-Ting He, Fu-Jen Tsai, Jia-Hao Wu, Yan-Tsung Peng, Chung-Chi Tsai, Chia-Wen Lin, Yen-Yu Lin",
    "venue": "ECCV 2024",
    "task": "Restoration",
    "task_fine": "Image Restoration",
    "tags": [
      "Image",
      "Video"
    ],
    "url": "https://link.springer.com/chapter/10.1007/978-3-031-73404-5_8",
    "pdf": "https://arxiv.org/pdf/2407.09059",
    "code": "https://github.com/Jin-Ting-He/DADeblur",
    "bibtex": "@inproceedings{he2024domainadaptive,\n  title={Domain-Adaptive Video Deblurring via Test-Time Blurring},\n  author={He, Jin-Ting and Tsai, Fu-Jen and Wu, Jia-Hao and Peng, Yan-Tsung and Tsai, Chung-Chi and Lin, Chia-Wen and Lin, Yen-Yu},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "ada_realign",
    "full": "Ada-ReAlign",
    "title": "Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment",
    "authors": "Zhen-Yu Zhang, Zhiyu Xie, Huaxiu Yao, Masashi Sugiyama",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Continual"
    ],
    "url": "https://openreview.net/forum?id=0EfUYVMrLv",
    "pdf": "https://proceedings.neurips.cc/paper_files/paper/2024/file/abe31a12e83111fdf2cfd54deed5a2ce-Paper-Conference.pdf",
    "code": "",
    "bibtex": "@inproceedings{zhang2024testtime,\n  title={Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment},\n  author={Zhang, Zhen-Yu and Xie, Zhiyu and Yao, Huaxiu and Sugiyama, Masashi},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "adaptod",
    "full": "AdaptOD",
    "title": "Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation",
    "authors": "Wenjun Miao, Guansong Pang, Jin Zheng, Xiao Bai",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "task_fine": "OOD Detection",
    "tags": [
      "Image",
      "Open-set",
      "Label-Shift"
    ],
    "url": "https://proceedings.neurips.cc/paper_files/paper/2024/hash/ee657707107aa886da19ef6c4b311975-Abstract-Conference.html",
    "pdf": "https://arxiv.org/pdf/2410.20807",
    "code": "https://github.com/mala-lab/AdaptOD",
    "bibtex": "@inproceedings{miao2024longtailed,\n  title={Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation},\n  author={Miao, Wenjun and Pang, Guansong and Zheng, Jin and Bai, Xiao},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "l_tta",
    "full": "L-TTA",
    "title": "L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer",
    "authors": "Jin Shin, Hyun Kim",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://openreview.net/forum?id=G7NZljVOol",
    "pdf": "https://proceedings.neurips.cc/paper_files/paper/2024/file/458d9f2dd5c7565af60143630dc62f10-Paper-Conference.pdf",
    "code": "https://github.com/janus103/L_TTA",
    "bibtex": "@inproceedings{shin2024ltta,\n  title={L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer},\n  author={Shin, Jin and Kim, Hyun},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "apm",
    "full": "APM",
    "title": "Asynchronous Perception Machine for Efficient Test Time Training",
    "authors": "Rajat Modi, Yogesh Singh Rawat",
    "venue": "NeurIPS 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://proceedings.neurips.cc/paper_files/paper/2024/hash/bfa629625fd35bf5b880df464b584a57-Abstract-Conference.html",
    "pdf": "https://arxiv.org/pdf/2410.20535",
    "code": "https://github.com/rajatmodi62/apm",
    "bibtex": "@inproceedings{modi2024asynchronous,\n  title={Asynchronous Perception Machine for Efficient Test Time Training},\n  author={Modi, Rajat and Rawat, Yogesh Singh},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "tpc",
    "full": "TPC",
    "title": "TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation",
    "authors": "Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang D. Yoo",
    "venue": "NeurIPS 2024",
    "task": "Restoration",
    "task_fine": "Image Restoration",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://openreview.net/forum?id=h6nSE8AWCT",
    "pdf": "https://arxiv.org/pdf/2410.24037",
    "code": "https://github.com/dbstjswo505/TPC",
    "bibtex": "@inproceedings{yoon2024tpc,\n  title={TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation},\n  author={Yoon, Sunjae and Koo, Gwanhyeong and Lee, Younghwan and Yoo, Chang D.},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "tta_agl",
    "full": "TTA-AGL",
    "title": "Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line",
    "authors": "Eungyeup Kim, Mingjie Sun, Christina Baek, Aditi Raghunathan, J. Zico Kolter",
    "venue": "NeurIPS 2024",
    "task": "Benchmark / Survey",
    "task_fine": "Benchmark / Survey",
    "tags": [
      "Image"
    ],
    "url": "https://openreview.net/forum?id=giXUx4VH9t",
    "pdf": "https://arxiv.org/pdf/2310.04941",
    "code": "https://github.com/EungyeupKim/TTALine",
    "bibtex": "@inproceedings{kim2024testtime,\n  title={Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line},\n  author={Kim, Eungyeup and Sun, Mingjie and Baek, Christina and Raghunathan, Aditi and Kolter, J. Zico},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "bot_tta",
    "full": "BoT-TTA",
    "title": "Bag of Tricks for Fully Test-Time Adaptation",
    "authors": "Saypraseuth Mounsaveng, Florent Chiaroni, Malik Boudiaf, Marco Pedersoli, Ismail Ben Ayed",
    "venue": "WACV 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/WACV2024/html/Mounsaveng_Bag_of_Tricks_for_Fully_Test-Time_Adaptation_WACV_2024_paper.html",
    "pdf": "https://arxiv.org/pdf/2310.02416",
    "code": "https://github.com/smounsav/tta_bot",
    "bibtex": "@inproceedings{mounsaveng2024bag,\n  title={Bag of Tricks for Fully Test-Time Adaptation},\n  author={Mounsaveng, Saypraseuth and Chiaroni, Florent and Boudiaf, Malik and Pedersoli, Marco and Ben Ayed, Ismail},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "pstarc",
    "full": "pSTarC",
    "title": "pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation",
    "authors": "Manogna Sreenivas, Goirik Chakrabarty, Soma Biswas",
    "venue": "WACV 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://openaccess.thecvf.com/content/WACV2024/html/Sreenivas_pSTarC_Pseudo_Source_Guided_Target_Clustering_for_Fully_Test-Time_Adaptation_WACV_2024_paper.html",
    "pdf": "https://openaccess.thecvf.com/content/WACV2024/papers/Sreenivas_pSTarC_Pseudo_Source_Guided_Target_Clustering_for_Fully_Test-Time_Adaptation_WACV_2024_paper.pdf",
    "code": "",
    "bibtex": "@inproceedings{sreenivas2024pstarc,\n  title={pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation},\n  author={Sreenivas, Manogna and Chakrabarty, Goirik and Biswas, Soma},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "realm",
    "full": "REALM",
    "title": "REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation",
    "authors": "Skyler Seto, Barry-John Theobald, Federico Danieli, Navdeep Jaitly, Dan Busbridge",
    "venue": "WACV 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Mixed/Non-i.i.d."
    ],
    "url": "https://openaccess.thecvf.com/content/WACV2024/html/Seto_REALM_Robust_Entropy_Adaptive_Loss_Minimization_for_Improved_Single-Sample_Test-Time_WACV_2024_paper.html",
    "pdf": "https://arxiv.org/pdf/2309.03964",
    "code": "",
    "bibtex": "@inproceedings{seto2024realm,\n  title={REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation},\n  author={Seto, Skyler and Theobald, Barry-John and Danieli, Federico and Jaitly, Navdeep and Busbridge, Dan},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "law",
    "full": "LAW",
    "title": "Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation",
    "authors": "Junyoung Park, Jin Kim, Hyeongjun Kwon, Ilhoon Yoon, Kwanghoon Sohn",
    "venue": "WACV 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Continual",
      "Mixed/Non-i.i.d."
    ],
    "url": "https://openaccess.thecvf.com/content/WACV2024/html/Park_Layer-Wise_Auto-Weighting_for_Non-Stationary_Test-Time_Adaptation_WACV_2024_paper.html",
    "pdf": "https://arxiv.org/pdf/2311.05858",
    "code": "https://github.com/junia3/LayerwiseTTA",
    "bibtex": "@inproceedings{park2024layerwise,\n  title={Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation},\n  author={Park, Junyoung and Kim, Jin and Kwon, Hyeongjun and Yoon, Ilhoon and Sohn, Kwanghoon},\n  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "metta",
    "full": "MeTTA",
    "title": "MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation",
    "authors": "Kim Youwang, Yu-Ji Kim, Hyunwoo Ha, Youwang Kim, Jaeheung Surh, Hyowon Ha, Tae-Hyun Oh",
    "venue": "BMVC 2024",
    "task": "Classification",
    "task_fine": "Point Cloud Classification",
    "tags": [
      "3D/Point-Cloud",
      "Single-image"
    ],
    "url": "https://arxiv.org/abs/2408.11465",
    "pdf": "https://arxiv.org/pdf/2408.11465",
    "code": "https://github.com/kaist-ami/MeTTA",
    "bibtex": "@inproceedings{kim2024metta,\n  title={MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation},\n  author={Kim, Yu-Ji and Ha, Hyunwoo and Kim, Youwang and Surh, Jaeheung and Ha, Hyowon and Oh, Tae-Hyun},\n  booktitle={British Machine Vision Conference (BMVC)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "dct",
    "full": "DCT",
    "title": "Domain-Conditioned Transformer for Fully Test-time Adaptation",
    "authors": "Yushun Tang, Shuoshuo Chen, Jiyuan Jia, Yi Zhang, Zhihai He",
    "venue": "ACM MM 2024",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://dl.acm.org/doi/10.1145/3664647.3680678",
    "pdf": "https://arxiv.org/pdf/2410.10442",
    "code": "https://github.com/yushuntang/DCT",
    "bibtex": "@inproceedings{tang2024domainconditioned,\n  title={Domain-Conditioned Transformer for Fully Test-time Adaptation},\n  author={Tang, Yushun and Chen, Shuoshuo and Jia, Jiyuan and Zhang, Yi and He, Zhihai},\n  booktitle={Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "ps_ttl",
    "full": "PS-TTL",
    "title": "PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection",
    "authors": "Yingjie Gao, Yanan Zhang, Ziyue Huang, Nanqing Liu, Di Huang",
    "venue": "ACM MM 2024",
    "task": "Detection",
    "task_fine": "Object Detection",
    "tags": [
      "Image"
    ],
    "url": "https://dl.acm.org/doi/10.1145/3664647.3681176",
    "pdf": "https://arxiv.org/pdf/2408.05674",
    "code": "https://github.com/gaoyingjay/PS-TTL",
    "bibtex": "@inproceedings{gao2024psttl,\n  title={PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection},\n  author={Gao, Yingjie and Zhang, Yanan and Huang, Ziyue and Liu, Nanqing and Huang, Di},\n  booktitle={Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "atta_2",
    "full": "ATTA",
    "title": "ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification",
    "authors": "Ziyu Jia, Yucheng Liu, Lei Zhou, Wenjie Du, Xiaorui Wang, Yu Zhang, Hanjie Liu",
    "venue": "IJCAI 2024",
    "task": "Classification",
    "task_fine": "Time-Series Classification",
    "tags": [
      "Audio",
      "EEG/Bio-signal",
      "Multimodal",
      "Time-Series",
      "Online"
    ],
    "url": "https://www.ijcai.org/proceedings/2024/650",
    "pdf": "https://www.ijcai.org/proceedings/2024/0650.pdf",
    "code": "",
    "bibtex": "@inproceedings{jia2024atta,\n  title={ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification},\n  author={Jia, Ziyu and Liu, Yucheng and Zhou, Lei and Du, Wenjie and Wang, Xiaorui and Zhang, Yu and Liu, Hanjie},\n  booktitle={Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "arm",
    "full": "ARM",
    "title": "Adaptive Risk Minimization: Learning to Adapt to Domain Shift",
    "authors": "Marvin Zhang, Henrik Marklund, Nikita Dhawan, Abhishek Gupta, Sergey Levine, Chelsea Finn",
    "venue": "NeurIPS 2021",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image"
    ],
    "url": "https://arxiv.org/abs/2007.02931",
    "pdf": "https://arxiv.org/pdf/2007.02931",
    "code": "https://github.com/henrikmarklund/arm",
    "bibtex": "@inproceedings{zhang2021adaptive,\n  title={Adaptive Risk Minimization: Learning to Adapt to Domain Shift},\n  author={Zhang, Marvin and Marklund, Henrik and Dhawan, Nikita and Gupta, Abhishek and Levine, Sergey and Finn, Chelsea},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "bacs",
    "full": "BACS",
    "title": "Training on Test Data with Bayesian Adaptation for Covariate Shift",
    "authors": "Aurick Zhou, Sergey Levine",
    "venue": "NeurIPS 2021",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2109.12746",
    "pdf": "https://arxiv.org/pdf/2109.12746",
    "code": "",
    "bibtex": "@inproceedings{zhou2021training,\n  title={Training on Test Data with Bayesian Adaptation for Covariate Shift},\n  author={Zhou, Aurick and Levine, Sergey},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "tailoring",
    "full": "Tailoring",
    "title": "Tailoring: Encoding Inductive Biases by Optimizing Unsupervised Objectives at Prediction Time",
    "authors": "Ferran Alet, Maria Bauza, Kenji Kawaguchi, Nurullah Giray Kuru, Tomas Lozano-Perez, Leslie Pack Kaelbling",
    "venue": "NeurIPS 2021",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://arxiv.org/abs/2009.10623",
    "pdf": "https://arxiv.org/pdf/2009.10623",
    "code": "",
    "bibtex": "@inproceedings{alet2021tailoring,\n  title={Tailoring: Encoding Inductive Biases by Optimizing Unsupervised Objectives at Prediction Time},\n  author={Alet, Ferran and Bauza, Maria and Kawaguchi, Kenji and Kuru, Nurullah Giray and Lozano-Perez, Tomas and Kaelbling, Leslie Pack},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "ols_ogd",
    "full": "OLS-OGD",
    "title": "Online Adaptation to Label Distribution Shift",
    "authors": "Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger",
    "venue": "NeurIPS 2021",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Label-Shift"
    ],
    "url": "https://arxiv.org/abs/2107.04520",
    "pdf": "https://arxiv.org/pdf/2107.04520",
    "code": "https://github.com/wrh14/online_adaptation_to_label_distribution_shift",
    "bibtex": "@inproceedings{wu2021online,\n  title={Online Adaptation to Label Distribution Shift},\n  author={Wu, Ruihan and Guo, Chuan and Su, Yi and Weinberger, Kilian Q.},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "robust_self_learning",
    "full": "Robust Self-Learning",
    "title": "If Your Data Distribution Shifts, Use Self-Learning",
    "authors": "Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter V. Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge",
    "venue": "arXiv 2021",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2104.12928",
    "pdf": "https://arxiv.org/pdf/2104.12928",
    "code": "https://github.com/bethgelab/robustness",
    "bibtex": "@article{rusak2021data,\n  title={If Your Data Distribution Shifts, Use Self-Learning},\n  author={Rusak, Evgenia and Schneider, Steffen and Pachitariu, George and Eck, Luisa and Gehler, Peter V. and Bringmann, Oliver and Brendel, Wieland and Bethge, Matthias},\n  journal={arXiv preprint arXiv:2104.12928},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "slr_it",
    "full": "SLR+IT",
    "title": "Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation",
    "authors": "Chaithanya Kumar Mummadi, Robin Hutmacher, Kilian Rambach, Evgeny Levinkov, Thomas Brox, Jan Hendrik Metzen",
    "venue": "arXiv 2021",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2106.14999",
    "pdf": "https://arxiv.org/pdf/2106.14999",
    "code": "",
    "bibtex": "@article{mummadi2021test,\n  title={Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation},\n  author={Mummadi, Chaithanya Kumar and Hutmacher, Robin and Rambach, Kilian and Levinkov, Evgeny and Brox, Thomas and Metzen, Jan Hendrik},\n  journal={arXiv preprint arXiv:2106.14999},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "mixnorm",
    "full": "MixNorm",
    "title": "MixNorm: Test-Time Adaptation Through Online Normalization Estimation",
    "authors": "Xuefeng Hu, Mustafa Gokhan Uzunbas, Sirius Chen, Rui Wang, Ashish Shah, Ram Nevatia, Ser-Nam Lim",
    "venue": "arXiv 2021",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online",
      "Single-image"
    ],
    "url": "https://arxiv.org/abs/2110.11478",
    "pdf": "https://arxiv.org/pdf/2110.11478",
    "code": "",
    "bibtex": "@article{hu2021mixnorm,\n  title={MixNorm: Test-Time Adaptation Through Online Normalization Estimation},\n  author={Hu, Xuefeng and Uzunbas, Mustafa Gokhan and Chen, Sirius and Wang, Rui and Shah, Ashish and Nevatia, Ram and Lim, Ser-Nam},\n  journal={arXiv preprint arXiv:2110.11478},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "core_alpha_bn",
    "full": "Core (alpha-BN)",
    "title": "Test-Time Batch Statistics Calibration for Covariate Shift",
    "authors": "Fuming You, Jingjing Li, Zhou Zhao",
    "venue": "arXiv 2021",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2110.04065",
    "pdf": "https://arxiv.org/pdf/2110.04065",
    "code": "",
    "bibtex": "@article{you2021test,\n  title={Test-Time Batch Statistics Calibration for Covariate Shift},\n  author={You, Fuming and Li, Jingjing and Zhao, Zhou},\n  journal={arXiv preprint arXiv:2110.04065},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "tta_pr",
    "full": "TTA-PR",
    "title": "Test Time Adaptation through Perturbation Robustness",
    "authors": "Prabhu Teja Sivaprasad, Francois Fleuret",
    "venue": "NeurIPS 2021 Workshop",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://arxiv.org/abs/2110.10232",
    "pdf": "https://arxiv.org/pdf/2110.10232",
    "code": "",
    "bibtex": "@inproceedings{sivaprasad2021test,\n  title={Test Time Adaptation through Perturbation Robustness},\n  author={Sivaprasad, Prabhu Teja and Fleuret, Francois},\n  booktitle={NeurIPS 2021 Workshop on Distribution Shifts},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "oshot",
    "full": "OSHOT",
    "title": "One-Shot Unsupervised Cross-Domain Detection",
    "authors": "Antonio D'Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi",
    "venue": "ECCV 2020",
    "task": "Detection",
    "task_fine": "Object Detection",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://arxiv.org/abs/2005.11610",
    "pdf": "https://arxiv.org/pdf/2005.11610",
    "code": "",
    "bibtex": "@inproceedings{dinnocente2020oneshot,\n  title={One-Shot Unsupervised Cross-Domain Detection},\n  author={D'Innocente, Antonio and Borlino, Francesco Cappio and Bucci, Silvia and Caputo, Barbara and Tommasi, Tatiana},\n  booktitle={European Conference on Computer Vision (ECCV)},\n  year={2020}\n}",
    "presentation": ""
  },
  {
    "slug": "tt_uda",
    "full": "TT-UDA",
    "title": "Test-Time Unsupervised Domain Adaptation",
    "authors": "Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso",
    "venue": "MICCAI 2020",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image"
    ],
    "url": "https://arxiv.org/abs/2010.01926",
    "pdf": "https://arxiv.org/pdf/2010.01926",
    "code": "",
    "bibtex": "@inproceedings{varsavsky2020testtime,\n  title={Test-Time Unsupervised Domain Adaptation},\n  author={Varsavsky, Thomas and Orbes-Arteaga, Mauricio and Sudre, Carole H. and Graham, Mark S. and Nachev, Parashkev and Cardoso, M. Jorge},\n  booktitle={Medical Image Computing and Computer Assisted Intervention (MICCAI)},\n  year={2020}\n}",
    "presentation": ""
  },
  {
    "slug": "sda_net",
    "full": "SDA-Net",
    "title": "Self Domain Adapted Network",
    "authors": "Yufan He, Aaron Carass, Lianrui Zuo, Blake E. Dewey, Jerry L. Prince",
    "venue": "MICCAI 2020",
    "task": "Classification",
    "task_fine": "Medical Image Classification",
    "tags": [
      "Image",
      "Medical",
      "Single-image"
    ],
    "url": "https://arxiv.org/abs/2007.03162",
    "pdf": "https://arxiv.org/pdf/2007.03162",
    "code": "https://github.com/heyufan1995/self-domain-adapted-network",
    "bibtex": "@inproceedings{he2020self,\n  title={Self Domain Adapted Network},\n  author={He, Yufan and Carass, Aaron and Zuo, Lianrui and Dewey, Blake E. and Prince, Jerry L.},\n  booktitle={Medical Image Computing and Computer Assisted Intervention (MICCAI)},\n  year={2020}\n}",
    "presentation": ""
  },
  {
    "slug": "tta_ae",
    "full": "TTA-AE",
    "title": "Autoencoder Based Self-Supervised Test-Time Adaptation for Medical Image Analysis",
    "authors": "Yufan He, Aaron Carass, Lianrui Zuo, Blake E. Dewey, Jerry L. Prince",
    "venue": "MedIA 2021",
    "task": "Classification",
    "task_fine": "Medical Image Classification",
    "tags": [
      "Image",
      "Medical"
    ],
    "url": "https://www.sciencedirect.com/science/article/abs/pii/S1361841521001821",
    "pdf": "https://pmc.ncbi.nlm.nih.gov/articles/PMC8316425/",
    "code": "https://github.com/heyufan1995/self-domain-adapted-network",
    "bibtex": "@article{he2021autoencoder,\n  title={Autoencoder Based Self-Supervised Test-Time Adaptation for Medical Image Analysis},\n  author={He, Yufan and Carass, Aaron and Zuo, Lianrui and Dewey, Blake E. and Prince, Jerry L.},\n  journal={Medical Image Analysis},\n  volume={72},\n  pages={102136},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "ftta_seg",
    "full": "FTTA-Seg",
    "title": "Fully Test-Time Adaptation for Image Segmentation",
    "authors": "Minhao Hu, Tao Song, Yujun Gu, Xiangde Luo, Jieneng Chen, Yinan Chen, Ya Zhang, Shaoting Zhang",
    "venue": "MICCAI 2021",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Medical",
      "Online"
    ],
    "url": "https://link.springer.com/chapter/10.1007/978-3-030-87199-4_24",
    "pdf": "https://miccai2021.org/openaccess/paperlinks/2021/09/01/204-Paper1319.html",
    "code": "",
    "bibtex": "@inproceedings{hu2021fully,\n  title={Fully Test-Time Adaptation for Image Segmentation},\n  author={Hu, Minhao and Song, Tao and Gu, Yujun and Luo, Xiangde and Chen, Jieneng and Chen, Yinan and Zhang, Ya and Zhang, Shaoting},\n  booktitle={Medical Image Computing and Computer Assisted Intervention (MICCAI)},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "boa",
    "full": "BOA",
    "title": "Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction",
    "authors": "Shanyan Guan, Jingwei Xu, Yunbo Wang, Bingbing Ni, Xiaokang Yang",
    "venue": "CVPR 2021",
    "task": "Regression",
    "task_fine": "Image Regression",
    "tags": [
      "3D/Point-Cloud",
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2103.16449",
    "pdf": "https://arxiv.org/pdf/2103.16449",
    "code": "https://github.com/syguan96/BOA",
    "bibtex": "@inproceedings{guan2021bilevel,\n  title={Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction},\n  author={Guan, Shanyan and Xu, Jingwei and Wang, Yunbo and Ni, Bingbing and Yang, Xiaokang},\n  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "pad",
    "full": "PAD",
    "title": "Self-Supervised Policy Adaptation during Deployment",
    "authors": "Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenya, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang",
    "venue": "ICLR 2021",
    "task": "Decision-Making",
    "task_fine": "Reinforcement Learning",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2007.04309",
    "pdf": "https://arxiv.org/pdf/2007.04309",
    "code": "https://github.com/nicklashansen/policy-adaptation-during-deployment",
    "bibtex": "@inproceedings{hansen2021selfsupervised,\n  title={Self-Supervised Policy Adaptation during Deployment},\n  author={Hansen, Nicklas and Jangir, Rishabh and Sun, Yu and Alenya, Guillem and Abbeel, Pieter and Efros, Alexei A. and Pinto, Lerrel and Wang, Xiaolong},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2021}\n}",
    "presentation": ""
  },
  {
    "slug": "ittp",
    "full": "ITTP",
    "title": "Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections",
    "authors": "Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP",
    "venue": "CVPR 2021",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://arxiv.org/abs/2103.01134",
    "pdf": "https://openaccess.thecvf.com/content/CVPR2021/papers/Pandey_Generalization_on_Unseen_Domains_via_Inference-Time_Label-Preserving_Target_Projections_CVPR_2021_paper.pdf",
    "code": "https://github.com/yys-Polaris/InferenceTimeDG",
    "bibtex": "@inproceedings{pandey2021generalization,\n  title={Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections},\n  author={Pandey, Prashant and Raman, Mrigank and Varambally, Sumanth and AP, Prathosh},\n  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2021}\n}",
    "presentation": "Oral"
  },
  {
    "slug": "dsime",
    "full": "DSIME",
    "title": "Dynamic Scale Inference by Entropy Minimization",
    "authors": "Dequan Wang, Evan Shelhamer, Bruno Olshausen, Trevor Darrell",
    "venue": "arXiv 2019",
    "task": "Segmentation",
    "task_fine": "Semantic Segmentation",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://arxiv.org/abs/1908.03182",
    "pdf": "https://arxiv.org/pdf/1908.03182",
    "code": "",
    "bibtex": "@article{wang2019dynamic,\n  title={Dynamic Scale Inference by Entropy Minimization},\n  author={Wang, Dequan and Shelhamer, Evan and Olshausen, Bruno and Darrell, Trevor},\n  journal={arXiv preprint arXiv:1908.03182},\n  year={2019}\n}",
    "presentation": ""
  },
  {
    "slug": "geos",
    "full": "GeOS",
    "title": "Learning to Generalize One Sample at a Time with Self-Supervision",
    "authors": "Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi",
    "venue": "arXiv 2019",
    "task": "Classification",
    "task_fine": "Image Classification",
    "tags": [
      "Image",
      "Single-image"
    ],
    "url": "https://arxiv.org/abs/1910.03915",
    "pdf": "https://arxiv.org/pdf/1910.03915",
    "code": "",
    "bibtex": "@article{dinnocente2019learning,\n  title={Learning to Generalize One Sample at a Time with Self-Supervision},\n  author={D'Innocente, Antonio and Bucci, Silvia and Caputo, Barbara and Tommasi, Tatiana},\n  journal={arXiv preprint arXiv:1910.03915},\n  year={2019}\n}",
    "presentation": ""
  },
  {
    "slug": "poem",
    "full": "POEM",
    "title": "Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach",
    "authors": "Yarin Bar, Shalev Shaer, Yaniv Romano",
    "venue": "NeurIPS 2024",
    "task": "Theory",
    "task_fine": "Theory",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2408.07511",
    "pdf": "https://arxiv.org/pdf/2408.07511",
    "code": "https://github.com/yarinbar/poem",
    "bibtex": "@inproceedings{bar2024protected,\n  title={Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach},\n  author={Bar, Yarin and Shaer, Shalev and Romano, Yaniv},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},\n  year={2024}\n}",
    "presentation": ""
  },
  {
    "slug": "specialization_ttt",
    "full": "",
    "title": "Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models",
    "authors": "Jonas Hubotter, Patrik Wolf, Alexander Shevchenko, Dennis Jueni, Andreas Krause, Gil Kur",
    "venue": "ICLR 2026",
    "task": "Theory",
    "task_fine": "Theory",
    "tags": [
      "Text/Document"
    ],
    "url": "https://arxiv.org/abs/2509.24510",
    "pdf": "https://arxiv.org/pdf/2509.24510",
    "code": "",
    "bibtex": "@inproceedings{hubotter2026specialization,\n  title={Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models},\n  author={H{\\\"o}botter, Jonas and Wolf, Patrik and Shevchenko, Alexander and J{\\\"u}ni, Dennis and Krause, Andreas and Kur, Gil},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2026}\n}",
    "presentation": "Oral"
  },
  {
    "slug": "gd_conjugate_pl_tta",
    "full": "",
    "title": "Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation",
    "authors": "Jun-Kun Wang, Andre Wibisono",
    "venue": "ICLR 2023",
    "task": "Theory",
    "task_fine": "Theory",
    "tags": [
      "Image",
      "Online"
    ],
    "url": "https://arxiv.org/abs/2210.10019",
    "pdf": "https://arxiv.org/pdf/2210.10019",
    "code": "",
    "bibtex": "@inproceedings{wang2023towards,\n  title={Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation},\n  author={Wang, Jun-Kun and Wibisono, Andre},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2023}\n}",
    "presentation": ""
  },
  {
    "slug": "ttt_nonlinear_icl",
    "full": "",
    "title": "Test Time Training Enhances In-Context Learning of Nonlinear Functions",
    "authors": "Kento Kuwataka, Taiji Suzuki",
    "venue": "arXiv 2025",
    "task": "Theory",
    "task_fine": "Theory",
    "tags": [
      "Text/Document"
    ],
    "url": "https://arxiv.org/abs/2509.25741",
    "pdf": "https://arxiv.org/pdf/2509.25741",
    "code": "",
    "bibtex": "@article{kuwataka2025test,\n  title={Test Time Training Enhances In-Context Learning of Nonlinear Functions},\n  author={Kuwataka, Kento and Suzuki, Taiji},\n  journal={arXiv preprint arXiv:2509.25741},\n  year={2025}\n}",
    "presentation": ""
  },
  {
    "slug": "ho_asymptotics_bn_tta",
    "full": "",
    "title": "Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics",
    "authors": "Masanari Kimura",
    "venue": "arXiv 2025",
    "task": "Theory",
    "task_fine": "Theory",
    "tags": [
      "Image"
    ],
    "url": "https://arxiv.org/abs/2505.16257",
    "pdf": "https://arxiv.org/pdf/2505.16257",
    "code": "",
    "bibtex": "@article{kimura2025higher,\n  title={Higher-Order Asymptotics of Test-Time Adaptation for Batch Normalization Statistics},\n  author={Kimura, Masanari},\n  journal={arXiv preprint arXiv:2505.16257},\n  year={2025}\n}",
    "presentation": ""
  },
  {
    "slug": "on_the_learnability_of_test_time_adaptat",
    "full": "",
    "title": "On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective",
    "authors": "Zhi Zhou, Ming Yang, Shi-Yu Tian, Kun-Yang Yu, Lan-Zhe Guo, Yu-Feng Li",
    "venue": "ICML 2026",
    "task": "Theory",
    "task_fine": "Theory",
    "tags": [
      "Image",
      "Continual"
    ],
    "url": "https://arxiv.org/abs/2605.28057",
    "pdf": "https://arxiv.org/pdf/2605.28057",
    "code": "",
    "bibtex": "@inproceedings{zhou2026learnability, title={On the Learnability of Test-Time Adaptation: A Recovery Complexity Perspective}, author={Zhou, Zhi and Yang, Ming and Tian, Shi-Yu and Yu, Kun-Yang and Guo, Lan-Zhe and Li, Yu-Feng}, booktitle={International Conference on Machine Learning (ICML)}, year={2026} }",
    "presentation": ""
  },
  {
    "slug": "taip",
    "full": "TAIP",
    "title": "Online test-time adaptation for better generalization of interatomic potentials to out-of-distribution data",
    "authors": "Taoyong Cui, Chenyu Tang, Dongzhan Zhou, Yuqiang Li, Xingao Gong, Wanli Ouyang, Mao Su, Shufei Zhang",
    "venue": "Nature Communications 2025",
    "task": "Regression",
    "task_fine": "Regression",
    "tags": [
      "Molecular",
      "Online"
    ],
    "url": "https://www.nature.com/articles/s41467-025-57101-4",
    "pdf": "https://www.nature.com/articles/s41467-025-57101-4.pdf",
    "code": "https://github.com/TaoyongCui/TAIP-codes",
    "bibtex": "@article{cui2025online, title={Online test-time adaptation for better generalization of interatomic potentials to out-of-distribution data}, author={Cui, Taoyong and Tang, Chenyu and Zhou, Dongzhan and Li, Yuqiang and Gong, Xingao and Ouyang, Wanli and Su, Mao and Zhang, Shufei}, journal={Nature Communications}, volume={16}, number={1}, pages={1891}, year={2025}, publisher={Nature Publishing Group} }",
    "presentation": ""
  }
]