AGAN is the first neural architecture search method for GANs that discovers architectures outperforming state-of-the-art on CIFAR-10 unsupervised image generation and competitive on supervised tasks.
f-gan: Training generative neural samplers using variational divergence minimization
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.LG 2years
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UNVERDICTED 2representative citing papers
Defines capacity-bounded differential privacy via restricted f-divergences to model adversaries limited by function class capacity.
citing papers explorer
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AGAN: Towards Automated Design of Generative Adversarial Networks
AGAN is the first neural architecture search method for GANs that discovers architectures outperforming state-of-the-art on CIFAR-10 unsupervised image generation and competitive on supervised tasks.
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Capacity Bounded Differential Privacy
Defines capacity-bounded differential privacy via restricted f-divergences to model adversaries limited by function class capacity.