A Brain-inspired Algorithm for Training Highly Sparse Neural Networks

17 March 2019

Papers citing "A Brain-inspired Algorithm for Training Highly Sparse Neural Networks"

6 / 6 papers shown

Title
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity Calarina Muslimani Bram Grooten Deepak Ranganatha Sastry Mamillapalli Mykola Pechenizkiy D. Mocanu M. E. Taylor 46 0 0 20 May 2025
Switch-Based Multi-Part Neural Network Surajit Majumder Paritosh Ranjan Prodip Roy Bhuban Padhan OOD 74 0 0 25 Apr 2025
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 131 189 0 19 Mar 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 85 294 0 13 Sep 2019