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Poster
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Wed 9:00
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The Sample Complexity of One-Hidden-Layer Neural Networks
Gal Vardi · Ohad Shamir · Nati Srebro
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Poster
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Wed 9:00
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A Quantitative Geometric Approach to Neural-Network Smoothness
Zi Wang · Gautam Prakriya · Somesh Jha
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Poster
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Thu 9:00
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High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang
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Workshop
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SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli · Avi Schwarzschild · Micah Goldblum · C. Bayan Bruss · Tom Goldstein
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Poster
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Tue 9:00
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Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Sitan Chen · Aravind Gollakota · Adam Klivans · Raghu Meka
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Poster
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Thu 14:00
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Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks
Michael Lohaus · Matthäus Kleindessner · Krishnaram Kenthapadi · Francesco Locatello · Chris Russell
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Poster
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Thu 9:00
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Benign Overfitting in Two-layer Convolutional Neural Networks
Yuan Cao · Zixiang Chen · Misha Belkin · Quanquan Gu
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Workshop
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ZerO Initialization: Initializing Neural Networks with only Zeros and Ones
Jiawei Zhao · Florian Schaefer · Anima Anandkumar
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Poster
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Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width
Hanxu Zhou · Zhou Qixuan · Zhenyuan Jin · Tao Luo · Yaoyu Zhang · Zhi-Qin Xu
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Poster
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Tue 9:00
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Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
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Workshop
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Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction
Nitzan Avidan · Moti Freiman
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Poster
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Thu 9:00
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Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons
Paul Bertens · Seong-Whan Lee
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