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

Originality: The method is relatively new although it is similar to some conditional GAN works in the literature. The main idea is the analysis showing the limitations of prior GAN+SSL work and in proposing a scheme with better chances of succeeding (at least theoretically). Then experiments show that there is an improvement. It would be good to show more the analogies to prior conditional GAN work, and this would not hurt the contribution, rather it would better clarify its context and provide more links to practitioners (who could better understand it). Basically, the minimax game should use the same cost function for the optimization of the discriminator, the generator and the classifier.