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

16 citations · 35 across the 3 of their papers we have counts for

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cs.LG2019★ 3 cited

Semi-supervised Learning using Adversarial Training with Good and Bad Samples

Wenyuan Li, Zichen Wang, Yuguang Yue +4

In this work, we investigate semi-supervised learning (SSL) for image classification using adversarial training. Previous results have illustrated that generative adversarial netwo…

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…