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Poster
Tue 7:30 Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN
David Knigge · David W. Romero · Albert Gu · Efstratios Gavves · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn · Jan-jakob Sonke
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
Workshop
Fri 0:45 What Neural Networks Memorize and Why (Vitaly Feldman)
Workshop
Improving extreme weather events detection with light-weight neural networks
Romain Lacombe · Hannah Grossman · Lucas Hendren · David Ludeke
Poster
Wed 7:30 Compositionality with Variation Reliably Emerges in Neural Networks
Henry Conklin · Kenny Smith
Workshop
Fri 0:10 Towards neural networks robust to distribution shifts (Praneeth Netrapalli)
Poster
Wed 2:30 Bispectral Neural Networks
Sophia Sanborn · Christian Shewmake · Bruno Olshausen · Christopher Hillar
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
Poster
Unbiased Supervised Contrastive Learning
Carlo Alberto Barbano · Benoit Dufumier · Enzo Tartaglione · Marco Grangetto · Pietro Gori
Poster
Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Aaron Traylor · Roman Feiman · Ellie Pavlick