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2011.10520
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Rethinking Weight Decay For Efficient Neural Network Pruning
20 November 2020
Hugo Tessier
Vincent Gripon
Mathieu Léonardon
M. Arzel
T. Hannagan
David Bertrand
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Papers citing
"Rethinking Weight Decay For Efficient Neural Network Pruning"
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Title
Pruning Neural Networks at Initialization: Why are We Missing the Mark?
Jonathan Frankle
Gintare Karolina Dziugaite
Daniel M. Roy
Michael Carbin
55
240
0
18 Sep 2020
Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka
D. Kunin
Daniel L. K. Yamins
Surya Ganguli
133
641
0
09 Jun 2020
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
255
1,047
0
06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
258
387
0
05 Mar 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach
Gilad Yehudai
Shai Shalev-Shwartz
Ohad Shamir
96
274
0
03 Feb 2020
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle
Gintare Karolina Dziugaite
Daniel M. Roy
Michael Carbin
MoMe
144
617
0
11 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
354
42,299
0
03 Dec 2019
Rigging the Lottery: Making All Tickets Winners
Utku Evci
Trevor Gale
Jacob Menick
Pablo Samuel Castro
Erich Elsen
162
600
0
25 Nov 2019
Deep geometric knowledge distillation with graphs
Carlos Lassance
Myriam Bontonou
G. B. Hacene
Vincent Gripon
Jian Tang
Antonio Ortega
37
39
0
08 Nov 2019
Sparse Networks from Scratch: Faster Training without Losing Performance
Tim Dettmers
Luke Zettlemoyer
114
339
0
10 Jul 2019
Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform?
Xiaolong Ma
Sheng Lin
Shaokai Ye
Zhezhi He
Linfeng Zhang
...
Deliang Fan
Xuehai Qian
Xinyu Lin
Kaisheng Ma
Yanzhi Wang
MQ
66
92
0
03 Jul 2019
Importance Estimation for Neural Network Pruning
Pavlo Molchanov
Arun Mallya
Stephen Tyree
I. Frosio
Jan Kautz
3DPC
73
879
0
25 Jun 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos
Haonan Yu
Michela Paganini
Yuandong Tian
56
229
0
06 Jun 2019
Attention Based Pruning for Shift Networks
G. B. Hacene
Carlos Lassance
Vincent Gripon
Matthieu Courbariaux
Yoshua Bengio
57
25
0
29 May 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
Hattie Zhou
Janice Lan
Rosanne Liu
J. Yosinski
UQCV
49
386
0
03 May 2019
The State of Sparsity in Deep Neural Networks
Trevor Gale
Erich Elsen
Sara Hooker
125
758
0
25 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Hesham Mostafa
Xin Wang
69
311
0
15 Feb 2019
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
36
1,471
0
11 Oct 2018
SNIP: Single-shot Network Pruning based on Connection Sensitivity
Namhoon Lee
Thalaiyasingam Ajanthan
Philip Torr
VLM
227
1,196
0
04 Oct 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
AAML
VLM
60
963
0
21 Aug 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto
K. Maeno
41
33
0
14 Jun 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
200
3,457
0
09 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
49
181
0
28 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye
Xin Lu
Zhe Lin
Jianmin Wang
67
408
0
01 Feb 2018
Learning to Prune Filters in Convolutional Neural Networks
Qiangui Huang
S. Kevin Zhou
Suya You
Ulrich Neumann
VLM
77
177
0
23 Jan 2018
Learning Sparse Neural Networks through
L
0
L_0
L
0
Regularization
Christos Louizos
Max Welling
Diederik P. Kingma
335
1,144
0
04 Dec 2017
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
70
799
0
16 Nov 2017
Deep Rewiring: Training very sparse deep networks
G. Bellec
David Kappel
Wolfgang Maass
Robert Legenstein
BDL
123
277
0
14 Nov 2017
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai
Hongxu Yin
N. Jha
DD
75
235
0
06 Nov 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
167
1,273
0
05 Oct 2017
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
122
2,418
0
22 Aug 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
52
1,760
0
20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
196
2,521
0
19 Jul 2017
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science
Decebal Constantin Mocanu
Elena Mocanu
Peter Stone
Phuong H. Nguyen
M. Gibescu
A. Liotta
148
626
0
15 Jul 2017
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
139
479
0
24 May 2017
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Luna Dong
Shangyu Chen
Sinno Jialin Pan
148
504
0
22 May 2017
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
113
188
0
20 May 2017
Soft Weight-Sharing for Neural Network Compression
Karen Ullrich
Edward Meeds
Max Welling
142
417
0
13 Feb 2017
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
115
827
0
19 Jan 2017
Training Sparse Neural Networks
Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
118
207
0
21 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
474
10,305
0
16 Nov 2016
Compact Deep Convolutional Neural Networks With Coarse Pruning
S. Anwar
Wonyong Sung
3DPC
54
55
0
30 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
573
28,964
0
09 Sep 2016
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
186
3,692
0
31 Aug 2016
Dynamic Network Surgery for Efficient DNNs
Yiwen Guo
Anbang Yao
Yurong Chen
79
1,058
0
16 Aug 2016
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
Hengyuan Hu
Rui Peng
Yu-Wing Tai
Chi-Keung Tang
60
891
0
12 Jul 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
159
4,350
0
16 Mar 2016
Structured Pruning of Deep Convolutional Neural Networks
S. Anwar
Kyuyeon Hwang
Wonyong Sung
85
747
0
29 Dec 2015
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.9K
193,426
0
10 Dec 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
181
2,984
0
02 Nov 2015
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