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Workshop
Fri 0:45 What Neural Networks Memorize and Why (Vitaly Feldman)
Workshop
Fri 2:25 Spotlight: Ten Lessons We Have Learned in the New ''Sparseland'': A Short Handbook for Sparse Neural Network Researchers
Shiwei Liu · Zhangyang Wang
Poster
Mon 7:30 Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics
Taiji Suzuki · Atsushi Nitanda · Denny Wu
Workshop
Tue 2:30 How does the inductive bias influence the generalization capability of neural networks?
Charlotte Barth · Thomas Goerttler · Klaus Obermayer
Poster
Unbiased Supervised Contrastive Learning
Carlo Alberto Barbano · Benoit Dufumier · Enzo Tartaglione · Marco Grangetto · Pietro Gori
Poster
On the Performance of Temporal Difference Learning With Neural Networks
Haoxing Tian · Ioannis Paschalidis · Alex Olshevsky
Poster
Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Aaron Traylor · Roman Feiman · Ellie Pavlick
Poster
Wed 7:30 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
Poster
Tue 7:30 Latent Graph Inference using Product Manifolds
Haitz Sáez de Ocáriz Borde · Anees Kazi · Federico Barbero · Pietro Lio
Poster
Wed 7:30 Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods
Akiyama Shunta · Taiji Suzuki
Workshop
Fri 0:10 Towards neural networks robust to distribution shifts (Praneeth Netrapalli)
Workshop
Thu 8:00 Scaling laws for deep neural networks: driving theory and understanding through experimental insights
Yasaman Bahri