most citedSemi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach

16 citations · 16 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 16 cited

Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach

Wenyuan Li, Zichen Wang, Jiayun Li +3

Recently, semi-supervised learning methods based on generative adversarial networks (GANs) have received much attention. Among them, two distinct approaches have achieved competiti…