Kronecker-factored Curvature Approximations for Recurrent Neural Networks 

By James Martens, Jimmy Ba, Matt Johnson

 

Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches 

By Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger Grosse

 

NerveNet: Learning Structured Policy with Graph Neural Networks

By Tingwu Wang, Renjie Liao, Jimmy Ba, Sanja Fidler

 

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation 

By Will Grathwohl, Dami Choi, Yuhuai Wu, Geoff Roeder, David Duvenaud

 

Understanding Short-Horizon Bias in Stochastic Meta-Optimization 

By Yuhuai Wu, Mengye Ren, Renjie Liao, Roger Grosse

 

Quantitatively Evaluating GANs With Divergences Proposed for Training

By Daniel Jiwoong Im, Alllan He Ma, Graham W. Taylor, Kristin Branson

 

Attacking Binarized Neural Networks

By Angus Galloway, Graham W. Taylor, Medhat Moussa

 

Meta-Learning for Semi-Supervised Few-Shot Classification

By Mengye Ren, Sachin Ravi, Eleni Triantafillou, Jake Snell, Kevin Swersky, Josh B. Tenenbaum, Hugo Larochelle, Richard S. Zemel

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