2017.02.27:新年GAN起来
1. Generative Adversarial Nets
http://papers.nips.cc/paper/5423-generative-adversarial-nets
2.Ian Goodfellow's presentations about GAN
http://www.iangoodfellow.com/presentations.html
3. 深度学习新星:GAN的基本原理、应用和走向 | 硬创公开课
http://www.leiphone.com/news/201701/Kq6FvnjgbKK8Lh8N.html
4. GAN学习指南:从原理入门到制作生成Demo
https://zhuanlan.zhihu.com/p/24767059
5. GAN(生成对抗网络)的最新应用状况 (2017.2)
http://www.leiphone.com/news/201702/nM2BgBUj1uMHdqnn.html
6. 生成对抗网络GAN的研究与展望.王坤峰 ,苟超 ,段艳杰 ,林懿伦 ,郑心湖,王飞跃. 自动化学报, 2017,43(3): 321-332
GAN4NLP论文
1. Adversarial Learning for Neural Dialogue Generation
https://arxiv.org/pdf/1701.06547.pdf
Jiwei大神的作品一直很有意思,值得一读。
2. Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
https://arxiv.org/pdf/1703.04887.pdf
应该是第一篇GAN4NMT的,刚挂到arxiv上的
3. SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
https://arxiv.org/pdf/1609.05473.pdf
博客:
Generative Adversarial Nets in TensorFlow http://wiseodd.github.io/techblog/2016/09/17/gan-tensorflow/
Instance Noise: A trick for stabilising GAN training http://www.inference.vc/instance-noise-a-trick-for-stabilising-gan-training/
How to Train a GAN? Tips and tricks to make GANs work https://github.com/soumith/ganhacks
An introduction to Generative Adversarial Networks (with code in TensorFlow) http://blog.aylien.com/introduction-generative-adversarial-networks-code-tensorflow/