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Jun, 2016
生成对抗网络半监督学习
Semi-Supervised Learning with Generative Adversarial Networks
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Augustus Odena
TL;DR
将生成对抗网络扩展到半监督学习中,强制鉴别器网络输出类标签,能够创建更具数据效率的分类器以及比正常GAN生成更高质量的样本。
Abstract
We extend
generative adversarial networks
(GANs) to the semi-supervised context by forcing the
discriminator network
to output class labels. We train a generative model G and a discriminator D on a dataset with i
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