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Language Modeling with Generative AdversarialNetworks

8 Apr 2018 • Mehrad Moradshahi • Utkarsh Contractor

Generative Adversarial Networks (GANs) have been promising in the field of image generation, however, they have been hard to train for language generation. GANs were originally designed to output differentiable values, so discrete language generation is challenging for them which causes high levels of instability in training GANs... (read more)

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IMAGE GENERATION

LANGUAGE MODELLING

TEXT GENERATION

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Billion Word Benchmark

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METHOD	TYPE
Layer Normalization	Normalization
WGAN-GP Loss	Loss Functions
Leaky ReLU	Activation Functions
Batch Normalization	Normalization
WGAN GP	Generative Adversarial Networks
Convolution	Convolutions
WGAN	Generative Adversarial Networks

Language Modeling with Generative AdversarialNetworks

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