Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

William Fedus, Mihaela Rosca, Balaji Lakshminarayanan +3

Generative adversarial networks (GANs) are a family of generative models that do not minimize a single training criterion. Unlike other generative models, the data distribution is…