Adversarial Feature Matching for Text Generation

The Generative Adversarial Network (GAN) has achieved great success in generating realistic (real-valued) synthetic data. However, convergence issues and difficulties dealing with discrete data hinder the applicability of GAN to text... (read more)

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Methods used in the Paper


METHOD TYPE
Memory Network
Working Memory Models
Convolution
Convolutions
GAN
Generative Models