BriefGPT.xyz
Oct, 2017
许多路径通向平衡:GANs不需要在每一步都减小差异
Many Paths to Equilibrium: GANs Do Not Need to Decrease aDivergence At Every Step
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William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed...
TL;DR
通过实证方法,发现GAN的训练不仅仅是最小化分布之间的散度,而是通过一些不必要的梯度来促进达到纳什均衡。
Abstract
generative adversarial networks
(
gans
) are a family of generative models that do not minimize a single
training
criterion. Unlike other ge
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