Adversarial Fisher Vectors for Unsupervised Representation Learning

Joshua M Susskind
Joshua M Susskind
Walter Talbott
Walter Talbott

NeurIPS, 2019.

Cited by: 0|Bibtex|Views89
Other Links: academic.microsoft.com

Abstract:

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. In contrast to a traditional view where the discriminator learns a constant function when reaching convergence, here we show that it can provide useful inf...More

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