Analysis of the Gradient Descent Algorithm for a Deep Neural Network
Model with Skip-connections

Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections

10 April 2019

Chao Ma

Papers citing "Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections"

10 / 10 papers shown

Title
Asymptotic Analysis of Deep Residual Networks R. Cont Alain Rossier Renyuan Xu 27 4 0 15 Dec 2022
Image-to-Height Domain Translation for Synthetic Aperture Sonar Dylan Stewart Shawn F. Johnson Alina Zare 29 4 0 12 Dec 2021
Scaling Properties of Deep Residual Networks A. Cohen R. Cont Alain Rossier Renyuan Xu 25 18 0 25 May 2021
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks Kyungsu Kim A. Lozano Eunho Yang AAML 27 0 0 02 Jul 2020
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 22 168 0 19 Dec 2019
Global Convergence of Gradient Descent for Deep Linear Residual Networks Lei Wu Qingcan Wang Chao Ma ODL AI4CE 28 22 0 02 Nov 2019
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks Spencer Frei Yuan Cao Quanquan Gu ODL 9 31 0 07 Oct 2019
A type of generalization error induced by initialization in deep neural networks Yaoyu Zhang Zhi-Qin John Xu Tao Luo Zheng Ma 9 49 0 19 May 2019
A Priori Estimates of the Population Risk for Two-layer Neural Networks Weinan E Chao Ma Lei Wu 29 130 0 15 Oct 2018
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 577 0 27 Feb 2015