To update or not to update? Neurons at equilibrium in deep models

19 July 2022

Papers citing "To update or not to update? Neurons at equilibrium in deep models"

6 / 6 papers shown

Title
SCoTTi: Save Computation at Training Time with an adaptive framework Ziyu Li Enzo Tartaglione Van-Tam Nguyen 31 0 0 19 Dec 2023
Towards On-device Learning on the Edge: Ways to Select Neurons to Update under a Budget Constraint Ael Quélennec Enzo Tartaglione Pavlo Mozharovskyi Van-Tam Nguyen 26 2 0 08 Dec 2023
Can we avoid Double Descent in Deep Neural Networks? Victor Quétu Enzo Tartaglione AI4CE 20 3 0 26 Feb 2023
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks Enzo Tartaglione Andrea Bragagnolo Francesco Odierna A. Fiandrotti Marco Grangetto 38 18 0 07 Feb 2021
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 39 166 0 21 Oct 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 183 1,027 0 06 Mar 2020