Pruning neural networks without any data by iteratively conserving
synaptic flow

Pruning neural networks without any data by iteratively conserving synaptic flow

9 June 2020

Hidenori Tanaka

Daniel L. K. Yamins

Papers citing "Pruning neural networks without any data by iteratively conserving synaptic flow"

13 / 113 papers shown

Title
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 27 85 0 20 Feb 2021
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? Ning Liu Geng Yuan Zhengping Che Xuan Shen Xiaolong Ma Qing Jin Jian Ren Jian Tang Sijia Liu Yanzhi Wang 34 30 0 19 Feb 2021
Rethinking Weight Decay For Efficient Neural Network Pruning Hugo Tessier Vincent Gripon Mathieu Léonardon M. Arzel T. Hannagan David Bertrand 26 25 0 20 Nov 2020
Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping Khaled Koutini Florian Henkel Hamid Eghbalzadeh Gerhard Widmer 22 9 0 05 Nov 2020
Are wider nets better given the same number of parameters? A. Golubeva Behnam Neyshabur Guy Gur-Ari 27 44 0 27 Oct 2020
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 38 87 0 22 Oct 2020
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win Utku Evci Yani Andrew Ioannou Cem Keskin Yann N. Dauphin 32 87 0 07 Oct 2020
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot Jingtong Su Yihang Chen Tianle Cai Tianhao Wu Ruiqi Gao Liwei Wang J. Lee 14 85 0 22 Sep 2020
Progressive Skeletonization: Trimming more fat from a network at initialization Pau de Jorge Amartya Sanyal Harkirat Singh Behl Philip Torr Grégory Rogez P. Dokania 31 95 0 16 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective Motasem Alfarra Adel Bibi Hasan Hammoud M. Gaafar Guohao Li 16 26 0 20 Feb 2020
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 38 445 0 26 Sep 2019