Reviews: Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game

NeurIPS 2019 Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center "7259" "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game" The paper addresses a problem in self supervised GAN, where the classes strictly have disjoint support. This is mitigated by introducing a new class for generated samples.