Corpus ID: 17579179

Triple Generative Adversarial Nets

@article{Li2017TripleGA,
  title={Triple Generative Adversarial Nets},
  author={Chongxuan Li and T. Xu and J. Zhu and Bo Zhang},
  journal={ArXiv},
  year={2017},
  volume={abs/1703.02291}
}
Generative Adversarial Nets (GANs) have shown promise in image generation and semi-supervised learning (SSL. [...] Key Method To address the problems, we present triple generative adversarial net (Triple-GAN), which consists of three players---a generator, a discriminator and a classifier. The generator and the classifier characterize the conditional distributions between images and labels, and the discriminator solely focuses on identifying fake image-label pairs.Expand
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