2019
A Large-Scale Study on Regularization and Normalization in GANs
ICML 2019oral
Generative adversarial networks (GANs) are a class of deep generative models which aim to learn a target distribution in an unsupervised fashion. While they were successfully applied to many problems, training a GAN is a notoriously challenging task and requires a significant number of hyperparamete…