Prescribed Generative Adversarial Networks

Dieng Adji B.
Dieng Adji B.
Ruiz Francisco J. R.
Ruiz Francisco J. R.
Cited by: 0|Bibtex|Views61
Other Links: arxiv.org

Abstract:

Generative adversarial networks (GANs) are a powerful approach to unsupervised learning. They have achieved state-of-the-art performance in the image domain. However, GANs are limited in two ways. They often learn distributions with low support---a phenomenon known as mode collapse---and they do not guarantee the existence of a probabil...More

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