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…