A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes

21 October 2022

Papers citing "A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes"

4 / 4 papers shown

Title
Novel Deep Neural Network Classifier Characterization Metrics with Applications to Dataless Evaluation Nathaniel R. Dean Dilip Sarkar 35 0 0 17 Jul 2024
A novel multi-scale loss function for classification problems in machine learning L. Berlyand Robert Creese P. Jabin 17 3 0 04 Jun 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
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 281 2,888 0 15 Sep 2016