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Aggressive inference network learning
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Classroom Contents
CMU Advanced NLP 2021 - Latent Variable Models
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- 1 Introduction
- 2 Discriminative vs generative models
- 3 Types of variables
- 4 Loss function
- 5 Two tasks
- 6 Bias and variance
- 7 Evidence lower bound
- 8 Procedural training
- 9 Questions
- 10 Learning the VAE
- 11 Generating Sentences
- 12 Problems
- 13 kl divergence annealing
- 14 Free bits
- 15 Weaken the decoder
- 16 Aggressive inference network learning
- 17 Standard variational autoencoder
- 18 What are discrete latent variables
- 19 Method 1 Sampling
- 20 Method 2 Sampling
- 21 Method 2 Reparameterization
