[CS294 Pieter Abbeel] Deep Unsupervised Learning Contents

이 글은 필자가 Pieter Abbeel 의 Deep Unsupervised Learning 2020을 듣고 정리한 글입니다. 

Goal: Think the intuition of perceptions for robot. How will I lead my research on this perspective?

Contents

1. Intro
2. Autoregressive Models 2h 28m
3. Flow Models 1h 57m
4. Latent Variable Models 2h 20m
5. Implicit Models / Generative Adversarial  Networks 2h 33m
6. Self-Supervised Learning / Non-Generative Representation Learning 2h 10m
7. Strengths and Weaknesses of Unsupervised Learning Methods Covered Thus Far 2h 21m
8. Semi-Supervised Learning; Unsupervised Distribution Alignment 42m
9. Compression 3h 10m
10. Language Models 2h 39m
11. Representation Learning in Reinforcement Learning 2h 2m