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Tutorial on GANs

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20 April 2018


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Tutorial on GANs

  • Ian Goodfellow, Google Brain: Introduction slides (pdf) slides (keynote)
  • Mihaela Rosca, DeepMind: Autoencoder GANs slides (pdf)
  • Soumith Chintala, Facebook: GANs in the Wild slides (pdf)
  • Han Zhang, Rutgers University: Conditional GANs, StackGAN slides (pdf)
  • Lucas Theis, Twitter: Evaluating Generative Models slides (pdf)
  • Sanjeev Arora, Princeton University : Do GANs learn the distribution? slides (pptx)
  • Victor Lempitsky, Skoltech: Domain Adversarial Learning slides (pdf)
  • Jun-Yan Zhu, UC Berkeley: Visual Synthesis and Manipulation with GANs slides(pdf) slides(pptx)
  • David Pfau, DeepMind: Connections between adversarial training and RL
  • Alexei Efros, UC Berkeley: GANs as Learned Loss Functions

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