Beyond Backprop: Online Alternating Minimization with Auxiliary Variables

24 June 2018

Papers citing "Beyond Backprop: Online Alternating Minimization with Auxiliary Variables"

8 / 8 papers shown

Title
Local Learning with Neuron Groups Adeetya Patel Michael Eickenberg Eugene Belilovsky 13 5 0 18 Jan 2023
Towards Scaling Difference Target Propagation by Learning Backprop Targets M. Ernoult Fabrice Normandin A. Moudgil Sean Spinney Eugene Belilovsky Irina Rish Blake A. Richards Yoshua Bengio 19 28 0 31 Jan 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape Devansh Bisla Jing Wang A. Choromańska 25 34 0 20 Jan 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 34 416 0 24 Nov 2021
Stochastic Block-ADMM for Training Deep Networks Saeed Khorram Xiao Fu Mohamad H. Danesh Zhongang Qi Li Fuxin 29 3 0 01 May 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods Shiyu Duan José C. Príncipe MQ 20 3 0 09 Jan 2021
How can AI Automate End-to-End Data Science? Charu C. Aggarwal Djallel Bouneffouf Horst Samulowitz Beat Buesser T. Hoang ... Tejaswini Pedapati Parikshit Ram Ambrish Rawat Martin Wistuba Alexander G. Gray 80 14 0 22 Oct 2019
Lifted Neural Networks Armin Askari Geoffrey Negiar Rajiv Sambharya L. Ghaoui 26 37 0 03 May 2018