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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