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Workshop
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Fri 0:45
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What Neural Networks Memorize and Why (Vitaly Feldman)
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Workshop
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Fri 2:25
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Spotlight: Ten Lessons We Have Learned in the New ''Sparseland'': A Short Handbook for Sparse Neural Network Researchers
Shiwei Liu · Zhangyang Wang
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Poster
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Implicit Regularization for Group Sparsity
Jiangyuan Li · THANH NGUYEN · Chinmay Hegde · Raymond K. W. Wong
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Poster
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Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
Margalit Glasgow · Colin Wei · Mary Wootters · Tengyu Ma
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Poster
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On the Performance of Temporal Difference Learning With Neural Networks
Haoxing Tian · Ioannis Paschalidis · Alex Olshevsky
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Poster
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Unbiased Supervised Contrastive Learning
Carlo Alberto Barbano · Benoit Dufumier · Enzo Tartaglione · Marco Grangetto · Pietro Gori
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Poster
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Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Aaron Traylor · Roman Feiman · Ellie Pavlick
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Poster
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Wed 7:30
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Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation
Bobby He · James Martens · Guodong Zhang · Aleksandar Botev · Andrew Brock · Samuel L Smith · Yee Whye Teh
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Poster
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Tue 7:30
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Latent Graph Inference using Product Manifolds
Haitz Sáez de Ocáriz Borde · Anees Kazi · Federico Barbero · Pietro Lio
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Poster
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Wed 7:30
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Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
Akiyama Shunta · Taiji Suzuki
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Workshop
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Fri 0:10
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Towards neural networks robust to distribution shifts (Praneeth Netrapalli)
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Poster
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Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Difan Zou · Yuan Cao · Yuanzhi Li · Quanquan Gu
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