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Dynamic Network Surgery for Efficient DNNs
v1v2 (latest)

Dynamic Network Surgery for Efficient DNNs

16 August 2016
Yiwen Guo
Anbang Yao
Yurong Chen
ArXiv (abs)PDFHTMLGithub (186★)

Papers citing "Dynamic Network Surgery for Efficient DNNs"

50 / 364 papers shown
Title
Gradual Channel Pruning while Training using Feature Relevance Scores
  for Convolutional Neural Networks
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks
Sai Aparna Aketi
Sourjya Roy
A. Raghunathan
Kaushik Roy
148
22
0
23 Feb 2020
Network Pruning via Annealing and Direct Sparsity Control
Network Pruning via Annealing and Direct Sparsity Control
Yangzi Guo
Yiyuan She
Adrian Barbu
43
0
0
11 Feb 2020
Convolutional Neural Network Pruning Using Filter Attenuation
Convolutional Neural Network Pruning Using Filter AttenuationInternational Conference on Information Photonics (ICIP), 2025
Morteza Mousa Pasandi
M. Hajabdollahi
N. Karimi
S. Samavi
S. Shirani
3DPC
45
3
0
09 Feb 2020
Soft Threshold Weight Reparameterization for Learnable Sparsity
Soft Threshold Weight Reparameterization for Learnable SparsityInternational Conference on Machine Learning (ICML), 2024
Aditya Kusupati
Vivek Ramanujan
Raghav Somani
Mitchell Wortsman
Prateek Jain
Sham Kakade
Ali Farhadi
424
256
0
08 Feb 2020
MSE-Optimal Neural Network Initialization via Layer Fusion
MSE-Optimal Neural Network Initialization via Layer Fusion
Ramina Ghods
Andrew Lan
Tom Goldstein
Christoph Studer
FedML
57
1
0
28 Jan 2020
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of
  DNNs with Ultra-High Efficiency
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency
Hao Sun
Yifan Gong
Xiaolong Ma
Sijia Liu
Mengshu Sun
Zheng Zhan
Zhenglun Kong
Geng Yuan
Yanzhi Wang
66
17
0
23 Jan 2020
Channel Pruning via Automatic Structure Search
Channel Pruning via Automatic Structure Search
Mingbao Lin
Rongrong Ji
Yuxin Zhang
Baochang Zhang
Yongjian Wu
Yonghong Tian
196
260
0
23 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on
  Mobile Devices
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Xiaolong Ma
Wei Niu
Tianyun Zhang
Sijia Liu
Sheng Lin
...
Xiang Chen
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
149
27
0
20 Jan 2020
Pruning Convolutional Neural Networks with Self-Supervision
Pruning Convolutional Neural Networks with Self-Supervision
Mathilde Caron
Ari S. Morcos
Piotr Bojanowski
Julien Mairal
Armand Joulin
SSL3DPC
77
12
0
10 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems
Resource-Efficient Neural Networks for Embedded Systems
Wolfgang Roth
Günther Schindler
Lukas Pfeifenberger
Robert Peharz
Sebastian Tschiatschek
Holger Fröning
Franz Pernkopf
Zoubin Ghahramani
137
54
0
07 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu
Bohan Zhuang
Zhuangwei Zhuang
Yong Guo
Junzhou Huang
Jin-Hui Zhu
Mingkui Tan
CVBM
151
132
0
04 Jan 2020
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with
  Pattern-based Weight Pruning
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning
Wei Niu
Xiaolong Ma
Sheng Lin
Shihao Wang
Xuehai Qian
Xinyu Lin
Yanzhi Wang
Bin Ren
MQ
272
236
0
01 Jan 2020
Domain Adaptation Regularization for Spectral Pruning
Domain Adaptation Regularization for Spectral Pruning
Laurent Dillard
Yosuke Shinya
Taiji Suzuki
106
1
0
26 Dec 2019
DBP: Discrimination Based Block-Level Pruning for Deep Model
  Acceleration
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration
Wenxiao Wang
Shuai Zhao
Minghao Chen
Jinming Hu
Deng Cai
Haifeng Liu
116
39
0
21 Dec 2019
Landscape Connectivity and Dropout Stability of SGD Solutions for
  Over-parameterized Neural Networks
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks
Aleksandr Shevchenko
Marco Mondelli
290
39
0
20 Dec 2019
Joint Architecture and Knowledge Distillation in CNN for Chinese Text
  Recognition
Joint Architecture and Knowledge Distillation in CNN for Chinese Text Recognition
Zirui Wang
Jun Du
49
0
0
17 Dec 2019
Explicit Group Sparse Projection with Applications to Deep Learning and
  NMF
Explicit Group Sparse Projection with Applications to Deep Learning and NMF
Riyasat Ohib
Nicolas Gillis
Niccolò Dalmasso
Sameena Shah
Vamsi K. Potluru
Sergey Plis
187
9
0
09 Dec 2019
Rigging the Lottery: Making All Tickets Winners
Rigging the Lottery: Making All Tickets Winners
Utku Evci
Trevor Gale
Jacob Menick
Pablo Samuel Castro
Erich Elsen
343
641
0
25 Nov 2019
Neural Network Pruning with Residual-Connections and Limited-Data
Neural Network Pruning with Residual-Connections and Limited-Data
Jian-Hao Luo
Jianxin Wu
176
123
0
19 Nov 2019
Provable Filter Pruning for Efficient Neural Networks
Provable Filter Pruning for Efficient Neural Networks
Lucas Liebenwein
Cenk Baykal
Harry Lang
Dan Feldman
Daniela Rus
VLM3DPC
220
149
0
18 Nov 2019
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping
  of Deep Learning Architecture (DLA) onto FPGA Boards
2L-3W: 2-Level 3-Way Hardware-Software Co-Verification for the Mapping of Deep Learning Architecture (DLA) onto FPGA Boards
Tolulope A. Odetola
Katie M. Groves
S. R. Hasan
103
5
0
14 Nov 2019
What Do Compressed Deep Neural Networks Forget?
What Do Compressed Deep Neural Networks Forget?
Sara Hooker
Aaron Courville
Gregory Clark
Yann N. Dauphin
Andrea Frome
193
195
0
13 Nov 2019
Ternary MobileNets via Per-Layer Hybrid Filter Banks
Ternary MobileNets via Per-Layer Hybrid Filter Banks
Dibakar Gope
Jesse G. Beu
Urmish Thakker
Matthew Mattina
MQ
109
15
0
04 Nov 2019
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
Jonathan Ephrath
Moshe Eliasof
Lars Ruthotto
E. Haber
Eran Treister
192
17
0
29 Oct 2019
Neural Network Distiller: A Python Package For DNN Compression Research
Neural Network Distiller: A Python Package For DNN Compression Research
Neta Zmora
Guy Jacob
Lev Zlotnik
Bar Elharar
Gal Novik
91
74
0
27 Oct 2019
4-Connected Shift Residual Networks
4-Connected Shift Residual Networks
Andrew Brown
Pascal Mettes
Marcel Worring
3DPC
68
9
0
22 Oct 2019
Depth-wise Decomposition for Accelerating Separable Convolutions in
  Efficient Convolutional Neural Networks
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Yihui He
Jianing Qian
Jianren Wang
Cindy X. Le
Congrui Hetang
Qi Lyu
Wenping Wang
Tianwei Yue
164
12
0
21 Oct 2019
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs
Yue Niu
Hanqing Zeng
Ajitesh Srivastava
Kartik Lakhotia
Rajgopal Kannan
Yanzhi Wang
Viktor Prasanna
MQ
61
8
0
16 Oct 2019
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
Souvik Kundu
Saurav Prakash
H. Akrami
Peter A. Beerel
K. Chugg
119
12
0
02 Oct 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
Xiaohan Ding
Guiguang Ding
Xiangxin Zhou
Yuchen Guo
Jungong Han
Ji Liu
200
171
0
27 Sep 2019
Probabilistic Modeling of Deep Features for Out-of-Distribution and
  Adversarial Detection
Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection
Nilesh A. Ahuja
I. Ndiour
Trushant Kalyanpur
Omesh Tickoo
OODD
132
73
0
25 Sep 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep
  Convolutional Neural Networks
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
Zhonghui You
Kun Yan
Jinmian Ye
Meng Ma
Ping Wang
3DPC
121
264
0
18 Sep 2019
Differentiable Mask for Pruning Convolutional and Recurrent Networks
Differentiable Mask for Pruning Convolutional and Recurrent NetworksCanadian Conference on Computer and Robot Vision (CRV), 2023
R. Ramakrishnan
Eyyub Sari
V. Nia
VLM
132
16
0
10 Sep 2019
Image Captioning with Sparse Recurrent Neural Network
Image Captioning with Sparse Recurrent Neural Network
J. Tan
Chee Seng Chan
Joon Huang Chuah
VLM
81
7
0
28 Aug 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable
  Scale-Invariant Sparsity Measures
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity MeasuresInternational Conference on Learning Representations (ICLR), 2025
Huanrui Yang
W. Wen
Xue Yang
162
101
0
27 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via
  Asymmetric Convolution Blocks
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding
Yuchen Guo
Guiguang Ding
Jiawei Han
235
714
0
11 Aug 2019
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural
  Networks
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks
Yunxiang Zhang
Chenglong Zhao
Bingbing Ni
Jian Zhang
Haoran Deng
83
2
0
06 Aug 2019
Distilling Knowledge From a Deep Pose Regressor Network
Distilling Knowledge From a Deep Pose Regressor Network
Muhamad Risqi U. Saputra
Pedro Porto Buarque de Gusmão
Yasin Almalioglu
Andrew Markham
A. Trigoni
139
107
0
02 Aug 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
...
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
166
101
0
27 Jul 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang
Shan You
Chang Xu
Boxin Shi
Chao Xu
123
11
0
13 Jul 2019
Sparse Networks from Scratch: Faster Training without Losing Performance
Sparse Networks from Scratch: Faster Training without Losing Performance
Tim Dettmers
Luke Zettlemoyer
241
348
0
10 Jul 2019
AutoCompress: An Automatic DNN Structured Pruning Framework for
  Ultra-High Compression Rates
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Ning Liu
Xiaolong Ma
Zhiyuan Xu
Yanzhi Wang
Jian Tang
Jieping Ye
160
194
0
06 Jul 2019
Non-Structured DNN Weight Pruning -- Is It Beneficial in Any Platform?
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
187
97
0
03 Jul 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based
  Filter-Level Pruning
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Wenxiao Wang
Cong Fu
Jishun Guo
Deng Cai
Xiaofei He
VLM
87
74
0
25 Jun 2019
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension
  Adjustment Tucker Decomposition
ADA-Tucker: Compressing Deep Neural Networks via Adaptive Dimension Adjustment Tucker Decomposition
Zhisheng Zhong
Fangyin Wei
Zhouchen Lin
Chao Zhang
107
29
0
18 Jun 2019
Towards Compact and Robust Deep Neural Networks
Towards Compact and Robust Deep Neural Networks
Vikash Sehwag
Shiqi Wang
Prateek Mittal
Suman Jana
AAML
105
40
0
14 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks
Parameterized Structured Pruning for Deep Neural Networks
Günther Schindler
Wolfgang Roth
Franz Pernkopf
Holger Froening
85
6
0
12 Jun 2019
Taxonomy of Saliency Metrics for Channel Pruning
Taxonomy of Saliency Metrics for Channel Pruning
Kaveena Persand
Andrew Anderson
David Gregg
78
8
0
11 Jun 2019
Weight Agnostic Neural Networks
Weight Agnostic Neural Networks
Adam Gaier
David R Ha
OOD
114
246
0
11 Jun 2019
One ticket to win them all: generalizing lottery ticket initializations
  across datasets and optimizers
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
Ari S. Morcos
Haonan Yu
Michela Paganini
Yuandong Tian
140
236
0
06 Jun 2019
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