A Robust Adaptive Stochastic Gradient Method for Deep Learning

2 March 2017

Papers citing "A Robust Adaptive Stochastic Gradient Method for Deep Learning"

6 / 6 papers shown

Title
Impact of Learning Rate on Noise Resistant Property of Deep Learning Models Omobayode Fagbohungbe Lijun Qian 32 3 0 08 May 2022
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation Syeda Furruka Banu Md. Mostafa Kamal Sarker M. Abdel-Nasser D. Puig Hatem A. Rashwan 28 22 0 11 Oct 2021
TAdam: A Robust Stochastic Gradient Optimizer Wendyam Eric Lionel Ilboudo Taisuke Kobayashi Kenji Sugimoto ODL 22 12 0 29 Feb 2020
Empirical study towards understanding line search approximations for training neural networks Younghwan Chae D. Wilke 27 11 0 15 Sep 2019
Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates L. Smith Nicholay Topin AI4CE 25 519 0 23 Aug 2017
Curriculum Dropout Pietro Morerio Jacopo Cavazza Riccardo Volpi René Vidal Vittorio Murino ODL 28 101 0 18 Mar 2017