Good Semi-supervised Learning That Requires a Bad GAN

Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Russ R. Salakhutdinov

Neural Information Processing Systems 

Theoretically we show that given the discriminator objective, good semi-supervised learning indeed requires a bad generator, and propose the definition of a preferred generator.

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