Bayesian Gan Nips 2017

Paper: https://arxiv.org/abs/1705.09558 Code: https://github.com/andrewgordonwilson/bayesgan Generative adversarial networks ...

NIPS 2017

Chelsea Finn, Paul Christiano, Pieter Abbeel, Sergey Levine UC Berkley AI Research Lab

Paper: https://arxiv.org/abs/1703.04389 Code: https://github.com/wujian16/Cornell-MOE Slides: ...

Paper: https://arxiv.org/abs/1703.04389 Code: https://github.com/wujian16/Cornell-MOE

Presentations from the Deep Learning session: 0:44 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep ...

Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein https://arxiv.org/abs/1611.02163

Tolstikhin, Gelly, Bousquet, Simon-Gabriel, Schoelkopf AdaGAN: Boosting Generative Models https://arxiv.org/abs/1701.02386.

NIPS

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