AI RESEARCH
On the regularization of Wasserstein GANs
arXiv CS.LG
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ArXi:1709.08894v3 Announce Type: replace-cross Since their invention, generative adversarial networks (GANs) have become a popular approach for learning to model a distribution of real (unlabeled) data. Convergence problems during