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Poster
Tue 7:00 Efficient nonparametric statistical inference on population feature importance using Shapley values
Brian Williamson · Jean Feng
Poster
Wed 10:00 Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos · Panagiotis Tigas · Rowan McAllister · Nicholas Rhinehart · Sergey Levine · Yarin Gal
Poster
Wed 10:00 Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Mike Dusenberry · Ghassen Jerfel · Yeming Wen · Yian Ma · Jasper Snoek · Katherine Heller · Balaji Lakshminarayanan · Dustin Tran
Poster
Wed 9:00 A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth
Yiping Lu · Chao Ma · Yulong Lu · Jianfeng Lu · Lexing Ying
Poster
Thu 12:00 PowerNorm: Rethinking Batch Normalization in Transformers
Sheng Shen · Zhewei Yao · Amir Gholaminejad · Michael Mahoney · Kurt Keutzer
Poster
Wed 14:00 It's Not What Machines Can Learn, It's What We Cannot Teach
Gal Yehuda · Moshe Gabel · Assaf Schuster
Poster
Thu 7:00 Improving generalization by controlling label-noise information in neural network weights
Hrayr Harutyunyan · Kyle Reing · Greg Ver Steeg · Aram Galstyan
Poster
Thu 7:00 Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Denny Zhou · Mao Ye · Chen Chen · Tianjian Meng · Mingxing Tan · Xiaodan Song · Quoc Le · Qiang Liu · Dale Schuurmans
Poster
Tue 9:00 Inverse Active Sensing: Modeling and Understanding Timely Decision-Making
Daniel Jarrett · Mihaela van der Schaar
Poster
Wed 13:00 Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization
Vien Mai · Mikael Johansson
Poster
Wed 8:00 Sample Amplification: Increasing Dataset Size even when Learning is Impossible
Brian Axelrod · Shivam Garg · Vatsal Sharan · Gregory Valiant
Poster
Wed 10:00 Hypernetwork approach to generating point clouds
Przemysław Spurek · Sebastian Winczowski · Jacek Tabor · Maciej Zamorski · Maciej Zieba · Tomasz Trzcinski