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CMU Advanced NLP 2022 - Latent Variable Models
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- 1 Introduction
- 2 Types of Variables
- 3 Latent Variable Models
- 4 Loss Function
- 5 Variational inference
- 6 Regularized Autoencoder
- 7 Sampling
- 8 ancestral sampling
- 9 conditioned language models
- 10 Motivation for latent variables
- 11 Training VAEs
- 12 Aggressive inference network learning
- 13 Latent variables
- 14 Discrete latent variables
- 15 Reparameterization
- 16 Random Sampling
- 17 Reparameterization Trick
- 18 Gumball Softmax
- 19 Gumball Function
- 20 Application Examples
