592 Results

Poster	Wed 9:00	The Sample Complexity of One-Hidden-Layer Neural Networks Gal Vardi · Ohad Shamir · Nati Srebro
Poster	Wed 9:00	A Quantitative Geometric Approach to Neural-Network Smoothness Zi Wang · Gautam Prakriya · Somesh Jha
Poster	Thu 9:00	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
Workshop		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
Poster	Tue 9:00	Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks Sitan Chen · Aravind Gollakota · Adam Klivans · Raghu Meka
Poster	Thu 14:00	Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks Michael Lohaus · Matthäus Kleindessner · Krishnaram Kenthapadi · Francesco Locatello · Chris Russell
Workshop		ZerO Initialization: Initializing Neural Networks with only Zeros and Ones Jiawei Zhao · Florian Schaefer · Anima Anandkumar
Poster	Thu 9:00	Benign Overfitting in Two-layer Convolutional Neural Networks Yuan Cao · Zixiang Chen · Misha Belkin · Quanquan Gu
Poster		Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width Hanxu Zhou · Zhou Qixuan · Zhenyuan Jin · Tao Luo · Yaoyu Zhang · Zhi-Qin Xu
Poster	Tue 9:00	Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
Workshop		Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction Nitzan Avidan · Moti Freiman
Poster	Thu 9:00	Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons Paul Bertens · Seong-Whan Lee