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Found 2 papers, 1 papers with code
Lipizzaner: A System That Scales Robust Generative Adversarial Network Training
GANs are difficult to train due to convergence pathologies such as mode and discriminator collapse.
Towards Distributed Coevolutionary GANs
Generative Adversarial Networks (GANs) have become one of the dominant methods for deep generative modeling.
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