CMU Advanced NLP 2021 - Adversarial Learning

CMU Advanced NLP 2021 - Adversarial Learning

Graham Neubig via YouTube Direct link

generative adversarial networks

3 of 19

3 of 19

generative adversarial networks

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CMU Advanced NLP 2021 - Adversarial Learning

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  1. 1 Intro
  2. 2 Adversarial Methods
  3. 3 generative adversarial networks
  4. 4 nonlatent models
  5. 5 ML vs GAN
  6. 6 Basic Paradigm
  7. 7 Loss Function
  8. 8 Distribution Matching
  9. 9 Distribution Matching Pseudocode
  10. 10 Why are Gans good
  11. 11 Image Generation
  12. 12 Problems
  13. 13 Classes
  14. 14 Discriminators
  15. 15 Questions
  16. 16 Discrete choices
  17. 17 Domain and variant representations
  18. 18 Language variant representations
  19. 19 Unsupervised style transfer

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