Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks

16 October 2018

Papers citing "Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks"

5 / 5 papers shown

Title
Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective Lingchen Sun Jiejing Liang Shuai Liu Hongwei Yong Lei Zhang 25 6 0 24 Dec 2023
Optimizing Neural Networks with Gradient Lexicase Selection Lijie Ding Lee Spector 40 20 0 19 Dec 2023
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation Li Ding M. Zoghi Guy Tennenholtz Maryam Karimzadehgan 20 0 0 29 Oct 2023
Genetically Modified Wolf Optimization with Stochastic Gradient Descent for Optimising Deep Neural Networks Manuel Bradicic M. Sitarz Felix Sylvest Olesen 14 0 0 21 Jan 2023
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 30 701 0 26 Feb 2018