Machine Learning (NTU EE 5184, Spring 2022-23)
Instructor: Hung-yi Lee
Course Website : (https://speech.ee.ntu.edu.tw/~hylee/ml/2023-spring.html)
| # | Homework | Version | Public score | Private Score | Score |
|---|---|---|---|---|---|
| 1 | Regression | 2023 | 0.80653 | 0.83223 | 9 |
| 2 | Classification | 2023 | 0.83168 | 0.83236 | 10 |
| 3 | CNN | 2023 | 0.88600 | 0.89333 | 10 |
| 4 | Self-Attention | 2023 | 0.94875 | 0.95075 | 10 |
| 5 | Transformer | 2023 | 20.995 | 20.995 | 8 |
| 6 | GAN, Diffusion | 2022, 2023 | NA | NA | 10 |
| 7 | BERT | 2022 | 0.83461 | 0.82485 | 9.5 |
| 8 | Anomaly Detection | 2023 | 0.79269 | 0.79153 | 9 |
| 9 | Explainable AI | 2022,2023 | NA | NA | 10 |
| 10 | Attack | 2023 | NA | NA | 10 |
| 11 | Adaptation | 2022 | 0.80948 | 0.81084 | 10 |
| 12 | RL | 2023 | NA | NA | 10 |
| 13 | Compression | 2022 | 0.83013 | 0.85258 | 10 |
| 14 | Life-Long Learning | 2023 | NA | NA | 10 |
| 15 | Meta Learning | 2023 | 0.97291 | 0.95681 | 10 |
Total Score: 145.5 / 150
P.S： I referred to other people's codes, blogs, and ChatGPT during the completion of my assignment. I would like to express my gratitude here. And it is worth noticing that since there's not any TA or instructor during the self-learning period, I myself gave full marks to all my reports, so my scores are just for fun. Of course, I completed this course out of my interest in the field of machine learning and my admiration for Professor Hung Yi Le.Thanks a lot, Professor Lee! Moreover, the open source code has been approved by Professor Lee:
BTW: And I am really looking forward to getting a T-shirt like this:
