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Poster
Wed 9:00 Information asymmetry in KL-regularized RL
Alexandre Galashov · Siddhant Jayakumar · Leonard Hasenclever · Dhruva Tirumala · Jonathan Schwarz · Guillaume Desjardins · Wojciech M Czarnecki · Yee Whye Teh · Razvan Pascanu · Nicolas Heess
Poster
Wed 14:30 Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
Vaishnavh Nagarajan · Zico Kolter
Poster
Tue 9:00 Equi-normalization of Neural Networks
Pierre Stock · Benjamin Graham · Rémi Gribonval · Hervé Jégou
Poster
Wed 14:30 Adaptive Estimators Show Information Compression in Deep Neural Networks
Ivan Chelombiev · Conor Houghton · Cian O'Donnell
Poster
Wed 14:30 Regularized Learning for Domain Adaptation under Label Shifts
Kamyar Azizzadenesheli · Anqi Liu · Fanny Yang · Anima Anandkumar
Poster
Wed 14:30 Gradient descent aligns the layers of deep linear networks
Ziwei Ji · Matus Telgarsky
Poster
Tue 9:00 The Singular Values of Convolutional Layers
Hanie Sedghi · Vineet Gupta · Phil Long
Poster
Wed 14:30 Decoupled Weight Decay Regularization
Ilya Loshchilov · Frank Hutter
Poster
Wed 9:00 Selfless Sequential Learning
Rahaf Aljundi · Marcus Rohrbach · Tinne Tuytelaars
Poster
Wed 14:30 There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun · Marc A Finzi · Pavel Izmailov · Andrew G Wilson
Poster
Wed 14:30 Three Mechanisms of Weight Decay Regularization
Guodong Zhang · Chaoqi Wang · Bowen Xu · Roger Grosse
Poster
Tue 9:00 Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
Mikael Henaff · Alfredo Canziani · Yann LeCun