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Channel Pruning for Accelerating Very Deep Neural Networks
v1v2 (latest)

Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017
Yihui He
Xiangyu Zhang
Jian Sun
ArXiv (abs)PDFHTML

Papers citing "Channel Pruning for Accelerating Very Deep Neural Networks"

50 / 1,097 papers shown
Title
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Bailin Li
Bowen Wu
Jiang Su
Guangrun Wang
Liang Lin
106
175
0
06 Jul 2020
Weight-dependent Gates for Network Pruning
Weight-dependent Gates for Network Pruning
Yun Li
Zechun Liu
Weiqun Wu
Haotian Yao
Xinming Zhang
Fangqiu Yi
B. Yin
85
14
0
04 Jul 2020
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
FracBits: Mixed Precision Quantization via Fractional Bit-Widths
Linjie Yang
Qing Jin
MQ
101
74
0
04 Jul 2020
Learning to Prune in Training via Dynamic Channel Propagation
Learning to Prune in Training via Dynamic Channel Propagation
S. Shen
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
Yugeng Zhou
28
4
0
03 Jul 2020
Channel Compression: Rethinking Information Redundancy among Channels in
  CNN Architecture
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture
Jinhua Liang
Tao Zhang
Guoqing Feng
48
18
0
02 Jul 2020
Single Shot Structured Pruning Before Training
Single Shot Structured Pruning Before Training
Joost R. van Amersfoort
Milad Alizadeh
Sebastian Farquhar
Nicholas D. Lane
Y. Gal
70
22
0
01 Jul 2020
Statistical Mechanical Analysis of Neural Network Pruning
Statistical Mechanical Analysis of Neural Network Pruning
Rupam Acharyya
Ankani Chattoraj
Boyu Zhang
Shouman Das
Daniel Stefankovic
34
0
0
30 Jun 2020
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural
  Networks
Ramanujan Bipartite Graph Products for Efficient Block Sparse Neural Networks
Dharma Teja Vooturi
G. Varma
Kishore Kothapalli
47
6
0
24 Jun 2020
Principal Component Networks: Parameter Reduction Early in Training
Principal Component Networks: Parameter Reduction Early in Training
R. Waleffe
Theodoros Rekatsinas
3DPC
52
9
0
23 Jun 2020
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural
  Networks Acceleration
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration
Jianrong Xu
Boyu Diao
Bifeng Cui
Kang Yang
Chao Li
H. Hong
39
4
0
23 Jun 2020
Slimming Neural Networks using Adaptive Connectivity Scores
Slimming Neural Networks using Adaptive Connectivity Scores
Madan Ravi Ganesh
Dawsin Blanchard
Jason J. Corso
Salimeh Yasaei Sekeh
61
11
0
22 Jun 2020
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive
  Meta-Pruning
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning
M. Song
Jaehong Yoon
Eunho Yang
Sung Ju Hwang
15
1
0
22 Jun 2020
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization
Yuan Wen
David Gregg
MQ
37
3
0
22 Jun 2020
Paying more attention to snapshots of Iterative Pruning: Improving Model
  Compression via Ensemble Distillation
Paying more attention to snapshots of Iterative Pruning: Improving Model Compression via Ensemble Distillation
Duong H. Le
Vo Trung Nhan
N. Thoai
VLM
54
7
0
20 Jun 2020
Cogradient Descent for Bilinear Optimization
Cogradient Descent for Bilinear Optimization
Lian Zhuo
Baochang Zhang
Linlin Yang
Hanlin Chen
QiXiang Ye
David Doermann
G. Guo
Rongrong Ji
58
14
0
16 Jun 2020
CNN Acceleration by Low-rank Approximation with Quantized Factors
CNN Acceleration by Low-rank Approximation with Quantized Factors
Nikolay Kozyrskiy
Anh-Huy Phan
MQ
43
3
0
16 Jun 2020
APQ: Joint Search for Network Architecture, Pruning and Quantization
  Policy
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Tianzhe Wang
Kuan-Chieh Wang
Han Cai
Ji Lin
Zhijian Liu
Song Han
MQ
85
176
0
15 Jun 2020
Automatic heterogeneous quantization of deep neural networks for
  low-latency inference on the edge for particle detectors
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
C. Coelho
Aki Kuusela
Shane Li
Zhuang Hao
T. Aarrestad
Vladimir Loncar
J. Ngadiuba
M. Pierini
Adrian Alan Pol
S. Summers
MQ
104
179
0
15 Jun 2020
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization
  is Sufficient
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient
Ankit Pensia
Shashank Rajput
Alliot Nagle
Harit Vishwakarma
Dimitris Papailiopoulos
68
104
0
14 Jun 2020
Condensing Two-stage Detection with Automatic Object Key Part Discovery
Condensing Two-stage Detection with Automatic Object Key Part Discovery
Zhe Chen
Jing Zhang
Dacheng Tao
21
0
0
10 Jun 2020
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural
  Networks
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks
Woochul Kang
Daeyeon Kim
49
2
0
09 Jun 2020
A Framework for Neural Network Pruning Using Gibbs Distributions
A Framework for Neural Network Pruning Using Gibbs Distributions
Alex Labach
S. Valaee
33
5
0
08 Jun 2020
Novel Adaptive Binary Search Strategy-First Hybrid Pyramid- and
  Clustering-Based CNN Filter Pruning Method without Parameters Setting
Novel Adaptive Binary Search Strategy-First Hybrid Pyramid- and Clustering-Based CNN Filter Pruning Method without Parameters Setting
K. Chung
Yu-Lun Chang
Bo-Wei Tsai
27
0
0
08 Jun 2020
ADMP: An Adversarial Double Masks Based Pruning Framework For
  Unsupervised Cross-Domain Compression
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression
Xiaoyu Feng
Zhuqing Yuan
Guijin Wang
Yongpan Liu
46
5
0
07 Jun 2020
Weight Pruning via Adaptive Sparsity Loss
Weight Pruning via Adaptive Sparsity Loss
George Retsinas
Athena Elafrou
G. Goumas
Petros Maragos
64
10
0
04 Jun 2020
Shapley Value as Principled Metric for Structured Network Pruning
Shapley Value as Principled Metric for Structured Network Pruning
Marco Ancona
Cengiz Öztireli
Markus Gross
67
9
0
02 Jun 2020
Pruning via Iterative Ranking of Sensitivity Statistics
Pruning via Iterative Ranking of Sensitivity Statistics
Stijn Verdenius
M. Stol
Patrick Forré
AAML
82
38
0
01 Jun 2020
CoDiNet: Path Distribution Modeling with Consistency and Diversity for
  Dynamic Routing
CoDiNet: Path Distribution Modeling with Consistency and Diversity for Dynamic Routing
Huanyu Wang
Zequn Qin
Songyuan Li
Xi Li
58
7
0
29 May 2020
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks
A Feature-map Discriminant Perspective for Pruning Deep Neural Networks
Zejiang Hou
S. Kung
35
5
0
28 May 2020
PruneNet: Channel Pruning via Global Importance
PruneNet: Channel Pruning via Global Importance
A. Khetan
Zohar Karnin
40
11
0
22 May 2020
CPOT: Channel Pruning via Optimal Transport
CPOT: Channel Pruning via Optimal Transport
Yucong Shen
Li Shen
Haozhi Huang
Xuan Wang
Wei Liu
OT
54
6
0
21 May 2020
Feature Statistics Guided Efficient Filter Pruning
Feature Statistics Guided Efficient Filter Pruning
Hang Li
Chen Ma
Wenyuan Xu
Xue Liu
49
34
0
21 May 2020
Joint Multi-Dimension Pruning via Numerical Gradient Update
Joint Multi-Dimension Pruning via Numerical Gradient Update
Zechun Liu
Xinming Zhang
Zhiqiang Shen
Zhe Li
Yichen Wei
Kwang-Ting Cheng
Jian Sun
76
19
0
18 May 2020
Generalized Bayesian Posterior Expectation Distillation for Deep Neural
  Networks
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
Meet P. Vadera
B. Jalaeian
Benjamin M. Marlin
BDLFedMLUQCV
64
20
0
16 May 2020
A flexible, extensible software framework for model compression based on
  the LC algorithm
A flexible, extensible software framework for model compression based on the LC algorithm
Yerlan Idelbayev
Miguel Á. Carreira-Perpiñán
19
9
0
15 May 2020
Progressive Automatic Design of Search Space for One-Shot Neural
  Architecture Search
Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search
Xin Xia
Xuefeng Xiao
Xing Wang
Min Zheng
70
18
0
15 May 2020
Bayesian Bits: Unifying Quantization and Pruning
Bayesian Bits: Unifying Quantization and Pruning
M. V. Baalen
Christos Louizos
Markus Nagel
Rana Ali Amjad
Ying Wang
Tijmen Blankevoort
Max Welling
MQ
95
116
0
14 May 2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With
  Trainable Masked Layers
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
Junjie Liu
Zhe Xu
Runbin Shi
R. Cheung
Hayden Kwok-Hay So
62
122
0
14 May 2020
Pruning coupled with learning, ensembles of minimal neural networks, and
  future of XAI
Pruning coupled with learning, ensembles of minimal neural networks, and future of XAI
Alexander N. Gorban
Evgeny M. Mirkes
63
0
0
13 May 2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge
  Applications: A Survey
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
3DPCMedIm
71
52
0
08 May 2020
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost
  Computation
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
Yang Zhao
Xiaohan Chen
Yue Wang
Chaojian Li
Haoran You
Y. Fu
Yuan Xie
Zhangyang Wang
Yingyan Lin
MQ
107
43
0
07 May 2020
Dependency Aware Filter Pruning
Dependency Aware Filter Pruning
Kai Zhao
Xinyu Zhang
Qi Han
Ming-Ming Cheng
28
3
0
06 May 2020
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for
  Neural Network Acceleration
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration
Behzad Salami
Erhan Baturay Onural
Ismail Emir Yüksel
Fahrettin Koc
Oguz Ergin
A. Cristal
O. Unsal
H. Sarbazi-Azad
O. Mutlu
73
45
0
04 May 2020
NTIRE 2020 Challenge on Image and Video Deblurring
NTIRE 2020 Challenge on Image and Video Deblurring
Seungjun Nah
Sanghyun Son
Radu Timofte
Kyoung Mu Lee
107
32
0
04 May 2020
Out-of-the-box channel pruned networks
Out-of-the-box channel pruned networks
Ragav Venkatesan
Gurumurthy Swaminathan
Xiong Zhou
Anna Luo
37
0
0
30 Apr 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu
Yuxi Li
Shuai Zhang
W. Wen
Botao Wang
Y. Qi
Yiran Chen
Weiyao Lin
H. Xiong
AAML
78
71
0
30 Apr 2020
Rethinking Class-Discrimination Based CNN Channel Pruning
Rethinking Class-Discrimination Based CNN Channel Pruning
Yuchen Liu
D. Wentzlaff
S. Kung
51
10
0
29 Apr 2020
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN
  Model Training
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training
Sangkug Lym
M. Erez
36
26
0
27 Apr 2020
Lite Transformer with Long-Short Range Attention
Lite Transformer with Long-Short Range Attention
Zhanghao Wu
Zhijian Liu
Ji Lin
Chengyue Wu
Song Han
62
323
0
24 Apr 2020
Up or Down? Adaptive Rounding for Post-Training Quantization
Up or Down? Adaptive Rounding for Post-Training Quantization
Markus Nagel
Rana Ali Amjad
M. V. Baalen
Christos Louizos
Tijmen Blankevoort
MQ
107
590
0
22 Apr 2020
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