Generative Adversarial Networks as Variational Training of Energy Based Models

Shuangfei Zhai, Yu Cheng, Rogerio Feris +1

In this paper, we study deep generative models for effective unsupervised learning. We propose VGAN, which works by minimizing a variational lower bound of the negative log likelih…