I don’t know anything about it. Something about training two systems together to both generate and classify examples of a phenomenon of interest.
Sanjeev Arora gives a cogent intro He also suggests a link with learning theory. See also Delving deep into Generative Adversarial Networks, a “curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.”
The GAN Zoo, “A list of all named GANs!”
An especially tasty hack. Maybe shoudl be rolled back into this. See WGANs.
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