Kronecker-factored Curvature Approximations for Recurrent Neural Networks
By James Martens, Jimmy Ba, Matt Johnson
Quantitatively Evaluating GANs With Divergences Proposed for Training
By Daniel Jiwoong Im, Alllan He Ma, Graham W. Taylor, Kristin Branson
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
By Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger Grosse
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
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
NerveNet: Learning Structured Policy with Graph Neural Networks
By Tingwu Wang, Renjie Liao, Jimmy Ba, Sanja Fidler