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[R] Distributional concavity regularization for GANs (ICLR2019)

Openreview thread and paper and poster.

Spectral normalization was published by what seems to be roughly the same research group and has been one of few GAN modifications that improves GAN performance, reliably and significantly. This paper proposes a regularization term in the cost function that encourages the generator to maximize its entropy, in order to prevent mode collapse, which looks very promising.

However, I really can’t wrap my head around what they are actually doing, i.e. how to implement the regularization, the theory section is rather dense and I can’t find any implementations. Any pointers towards code or rough pseudocode would be very much appreciated.

submitted by /u/Darkwhiter
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.