CS 294-158 Deep Unsupervised Learning

Clone repository for the Spring 2020 offering of Berkeley's CS294-158 Deep Unsupervised Learning.

Tracker

• L1 - Intro
• L2 - Autoregressive Models
  • Colab
  • Homework
• L3 - Flow Models
  • Colab
  • Homework
• L4 - Latent Variable Models
  • Colab
  • Homework
• L5 & L6 - Implicit Models/Generative Adversarial Networks
  • Colab
  • Homework
• L7 - Self-Supervised Learning / Non-Generative Representation Learning
• L8 - Strengths and Weaknesses of Unsupervised Learning Methods Covered Thus Far
• L9 - Semi-Supervised Learning; Unsupervised Distribution Alignment
• L10 - Compression
• L11 - Language Models -- Guest Instructor: Alec Radford (OpenAI)
• L12 - Representation Learning in Reinforcement Learning

Additional Resources

• Probability Review
• Deep Generative Models - Fall 2019 (Stanford)
  • Course Notes/Blog