Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks

Ben Adlam, Charles Weill, Amol Kapoor

We investigate under and overfitting in Generative Adversarial Networks (GANs), using discriminators unseen by the generator to measure generalization. We find that the model capac…