Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks

26 September 2023

Papers citing "Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks"

11 / 11 papers shown

Title
Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space Juncai He R. Tsai Rachel A. Ward 61 9 0 01 Mar 2022
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions Ameya Dilip Jagtap Yeonjong Shin Kenji Kawaguchi George Karniadakis ODL 72 134 0 20 May 2021
ALReLU: A different approach on Leaky ReLU activation function to improve Neural Networks Performance S. Mastromichalakis 32 42 0 11 Dec 2020
Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum Bao Wang Qiang Ye ODL 72 14 0 03 Dec 2020
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Yang You Jing Li Sashank J. Reddi Jonathan Hseu Sanjiv Kumar Srinadh Bhojanapalli Xiaodan Song J. Demmel Kurt Keutzer Cho-Jui Hsieh ODL 230 996 0 01 Apr 2019
Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks Yuan Cao Quanquan Gu ODL MLT AI4CE 76 156 0 04 Feb 2019
Gradient Descent Provably Optimizes Over-parameterized Neural Networks S. Du Xiyu Zhai Barnabás Póczós Aarti Singh MLT ODL 214 1,272 0 04 Oct 2018
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems E. Weinan Ting Yu 117 1,387 0 30 Sep 2017
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 421 2,937 0 15 Sep 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 323 18,613 0 06 Feb 2015
Learning Activation Functions to Improve Deep Neural Networks Forest Agostinelli Matthew Hoffman Peter Sadowski Pierre Baldi ODL 215 475 0 21 Dec 2014