Dualing GANs

Yujia Li, Alexander Schwing, Kuan-Chieh Wang, Richard Zemel

Neural Information Processing Systems 

It is however well known that GAN training suffers from instability due to the nature of its saddle point formulation. In this paper, we explore ways to tackle the instability problem by dualizing the discriminator.

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