AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks

Yuesong Tian, Li Shen, Guinan Su +2

Generative Adversarial Networks (GANs) are formulated as minimax game problems, whereby generators attempt to approach real data distributions by virtue of adversarial learning aga…