Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous
Distributed Learning

Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning

11 June 2021

Eugene Belilovsky

Michael Eickenberg

Edouard Oyallon

Papers citing "Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning"

11 / 11 papers shown

Title
Training Neural Networks with Local Error Signals Arild Nøkland L. Eidnes 66 226 0 20 Jan 2019
Compressing the Input for CNNs with the First-Order Scattering Transform Edouard Oyallon Eugene Belilovsky Sergey Zagoruyko Michal Valko 39 25 0 27 Sep 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap 82 242 0 12 Jul 2018
Deep supervised learning using local errors Hesham Mostafa V. Ramesh Gert Cauwenberghs 58 113 0 17 Nov 2017
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 187 4,928 0 02 Nov 2017
Learning Deep ResNet Blocks Sequentially using Boosting Theory Furong Huang Jordan T. Ash John Langford Robert Schapire 48 111 0 15 Jun 2017
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 73 356 0 18 Aug 2016
Training Neural Networks Without Gradients: A Scalable ADMM Approach Gavin Taylor R. Burmeister Zheng Xu Bharat Singh Ankit B. Patel Tom Goldstein ODL 45 274 0 06 May 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 165 2,344 0 30 Mar 2016
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 97 733 0 11 Nov 2015
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 303 2,229 0 18 Sep 2014