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1220 Results
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Poster
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Tue 7:00 |
Efficient nonparametric statistical inference on population feature importance using Shapley values Brian Williamson · Jean Feng |
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Poster
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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 |
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Poster
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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 |
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Poster
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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 |
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Poster
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Thu 12:00 |
PowerNorm: Rethinking Batch Normalization in Transformers Sheng Shen · Zhewei Yao · Amir Gholaminejad · Michael Mahoney · Kurt Keutzer |
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Poster
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Wed 14:00 |
It's Not What Machines Can Learn, It's What We Cannot Teach Gal Yehuda · Moshe Gabel · Assaf Schuster |
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Poster
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Thu 7:00 |
Improving generalization by controlling label-noise information in neural network weights Hrayr Harutyunyan · Kyle Reing · Greg Ver Steeg · Aram Galstyan |
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Poster
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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 |
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Poster
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Tue 9:00 |
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making Daniel Jarrett · Mihaela van der Schaar |
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Poster
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Wed 13:00 |
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization Vien Mai · Mikael Johansson |
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Poster
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Wed 8:00 |
Sample Amplification: Increasing Dataset Size even when Learning is Impossible Brian Axelrod · Shivam Garg · Vatsal Sharan · Gregory Valiant |
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Poster
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Wed 10:00 |
Hypernetwork approach to generating point clouds Przemysław Spurek · Sebastian Winczowski · Jacek Tabor · Maciej Zamorski · Maciej Zieba · Tomasz Trzcinski |