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This lecture examines adversarial methods for NLP, covering generative adversarial networks, adversarial feature learning, adversarial attacks, and adversarial training, with applications including text generation and unsupervised machine translation.
Syllabus
Adversarial Methods
generative models
nonlatent models
examples
models
training method
distribution matching
pseudocode
gans good
gans for text
latent variables
training
text stabilization
discrimination over soft max
Adversarial feature learning
Domain invariant representations
Language variant representations
Multitask learning
Professor forcing
Unsupervised distribution matching
Unsupervised machine translation
Adversarial robustness
Adversarial example
Adversarial training
Taught by
Graham Neubig