Europe
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J. Maddox, Pavel Izmailov, Timur Garipov, Dmitry P. Vetrov, Andrew Gordon Wilson
Neural Information Processing Systems http://nips.cc/
TowardsaUnified Information-Theoretic FrameworkforGeneralization
Let D be an unknown distribution on a spaceZ, and let H be a set of classifiers. Consider a (randomized) learning algorithmA = (An)n 1 that selects an elementˆh in H, based onn i.i.d.
Optimal Transport Model Distributional Robustness Van-Anh Nguyen
SAM aims to find a perturbed model within the vicinity of a current model that maximizes the loss over a training set.
Discovery of Useful Questions as Auxiliary Tasks
Vivek Veeriah, Matteo Hessel, Zhongwen Xu, Janarthanan Rajendran, Richard L. Lewis, Junhyuk Oh, Hado P. van Hasselt, David Silver, Satinder Singh
Neural Information Processing Systems http://nips.cc/