Adversarial Fisher Vectors for Unsupervised Representation Learning

Shuangfei Zhai, Walter Talbott, Carlos Guestrin, Joshua Susskind

Neural Information Processing Systems 

We examine Generative Adversarial Networks (GANs) through the lens of deep Energy Based Models (EBMs), with the goal of exploiting the density model that follows from this formulation.

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