InfoGAN: Interpretable Representation Learning by ... - NIPS
Information Maximizing Generative Adversarial Nets Xi Chen yz, Yan Duan , Rein Houthooft , John Schulman , Ilya Sutskeverz, Pieter Abbeelyz yUC Berkeley, Department of Electrical Engineering and Computer Sciences zOpenAI Abstract This paper describes InfoGAN, an information-theoretic extension to the Gener-
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