The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks

7 June 2019

Papers citing "The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks"

13 / 13 papers shown

Title
Non-identifiability distinguishes Neural Networks among Parametric Models Sourav Chatterjee Timothy Sudijono 30 0 0 25 Apr 2025
Component-Wise Natural Gradient Descent -- An Efficient Neural Network Optimization Tran van Sang Mhd Irvan R. Yamaguchi Toshiyuki Nakata 13 1 0 11 Oct 2022
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability Z. Li Zixuan Wang Jian Li 19 42 0 26 Jul 2022
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction Kaifeng Lyu Zhiyuan Li Sanjeev Arora FAtt 40 69 0 14 Jun 2022
Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case B. Collins Tomohiro Hayase 22 7 0 24 Mar 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 33 281 0 23 Feb 2021
Group Whitening: Balancing Learning Efficiency and Representational Capacity Lei Huang Yi Zhou Li Liu Fan Zhu Ling Shao 25 20 0 28 Sep 2020
When Does Preconditioning Help or Hurt Generalization? S. Amari Jimmy Ba Roger C. Grosse Xuechen Li Atsushi Nitanda Taiji Suzuki Denny Wu Ji Xu 34 32 0 18 Jun 2020
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry Tomohiro Hayase Ryo Karakida 29 7 0 14 Jun 2020
Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective S. Amari 24 12 0 20 Jan 2020
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 227 348 0 14 Jun 2018
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach Ryo Karakida S. Akaho S. Amari FedML 47 140 0 04 Jun 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 296 2,890 0 15 Sep 2016