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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
A Comprehensive Survey on Model Quantization for Deep Neural Networks in
  Image Classification
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
Babak Rokh
A. Azarpeyvand
Alireza Khanteymoori
MQ
127
103
0
14 May 2022
Revisiting Random Channel Pruning for Neural Network Compression
Revisiting Random Channel Pruning for Neural Network Compression
Yawei Li
Kamil Adamczewski
Wen Li
Shuhang Gu
Radu Timofte
Luc Van Gool
110
86
0
11 May 2022
Arrhythmia Classifier using Binarized Convolutional Neural Network for
  Resource-Constrained Devices
Arrhythmia Classifier using Binarized Convolutional Neural Network for Resource-Constrained Devices
Ao Wang
Wenxing Xu
Hanshi Sun
Ninghao Pu
Zijing Liu
Hao Liu
48
10
0
07 May 2022
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics
  with Structural Information
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information
Kaveena Persand
Andrew Anderson
David Gregg
29
0
0
04 May 2022
Compact Neural Networks via Stacking Designed Basic Units
Compact Neural Networks via Stacking Designed Basic Units
Weichao Lan
Y. Cheung
Juyong Jiang
58
0
0
03 May 2022
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
Yihan Wang
Zhekai Zhang
Han Cai
Wei-Ming Chen
Song Han
3DH
123
75
0
03 May 2022
Triangular Dropout: Variable Network Width without Retraining
Triangular Dropout: Variable Network Width without Retraining
Edward W. Staley
Jared Markowitz
55
2
0
02 May 2022
Attentive Fine-Grained Structured Sparsity for Image Restoration
Attentive Fine-Grained Structured Sparsity for Image Restoration
Junghun Oh
Heewon Kim
Seungjun Nah
Chee Hong
Jonghyun Choi
Kyoung Mu Lee
134
20
0
26 Apr 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and
  Applications
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Han Cai
Ji Lin
Chengyue Wu
Zhijian Liu
Haotian Tang
Hanrui Wang
Ligeng Zhu
Song Han
116
116
0
25 Apr 2022
IMDeception: Grouped Information Distilling Super-Resolution Network
IMDeception: Grouped Information Distilling Super-Resolution Network
Mustafa Ayazoglu
88
5
0
25 Apr 2022
Boosting Pruned Networks with Linear Over-parameterization
Boosting Pruned Networks with Linear Over-parameterization
Yundi Qian
Siyuan Pan
Xiaoshuang Li
Jie Zhang
Liang Hou
Xiaobing Tu
57
2
0
25 Apr 2022
Unseen Object Instance Segmentation with Fully Test-time RGB-D
  Embeddings Adaptation
Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation
Lu Zhang
Siqi Zhang
Xu Yang
Hong Qiao
Zhiyong Liu
70
11
0
21 Apr 2022
Receding Neuron Importances for Structured Pruning
Receding Neuron Importances for Structured Pruning
Mihai Suteu
Yike Guo
47
1
0
13 Apr 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
Seongmin Lee
Zijie J. Wang
Judy Hoffman
Duen Horng Chau
79
11
0
12 Apr 2022
Compact Model Training by Low-Rank Projection with Energy Transfer
Compact Model Training by Low-Rank Projection with Energy Transfer
K. Guo
Zhenquan Lin
Xiaofen Xing
Fang Liu
Xiangmin Xu
77
2
0
12 Apr 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and
  Structured Sparsification
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
Sharath Girish
Kamal Gupta
Saurabh Singh
Abhinav Shrivastava
98
11
0
06 Apr 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and
  Sparse Network
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network
Byung-Kwan Lee
Junho Kim
Y. Ro
AAML
59
20
0
06 Apr 2022
ConceptExplainer: Interactive Explanation for Deep Neural Networks from
  a Concept Perspective
ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective
Jinbin Huang
Aditi Mishra
Bum Chul Kwon
Chris Bryan
FAttHAI
126
33
0
04 Apr 2022
Supervised Robustness-preserving Data-free Neural Network Pruning
Supervised Robustness-preserving Data-free Neural Network Pruning
Mark Huasong Meng
Guangdong Bai
Sin Gee Teo
Jin Song Dong
AAML
96
4
0
02 Apr 2022
Structured Pruning Learns Compact and Accurate Models
Structured Pruning Learns Compact and Accurate Models
Mengzhou Xia
Zexuan Zhong
Danqi Chen
VLM
117
189
0
01 Apr 2022
CHEX: CHannel EXploration for CNN Model Compression
CHEX: CHannel EXploration for CNN Model Compression
Zejiang Hou
Minghai Qin
Fei Sun
Xiaolong Ma
Kun Yuan
Yi Xu
Yen-kuang Chen
Rong Jin
Yuan Xie
S. Kung
86
74
0
29 Mar 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional
  Filters
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Paul Gavrikov
J. Keuper
AAML
107
31
0
29 Mar 2022
A Fast Post-Training Pruning Framework for Transformers
A Fast Post-Training Pruning Framework for Transformers
Woosuk Kwon
Sehoon Kim
Michael W. Mahoney
Joseph Hassoun
Kurt Keutzer
A. Gholami
113
157
0
29 Mar 2022
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks
Hongru Yang
Zhangyang Wang
MLT
106
8
0
27 Mar 2022
Searching for Network Width with Bilaterally Coupled Network
Searching for Network Width with Bilaterally Coupled Network
Xiu Su
Shan You
Jiyang Xie
Fei Wang
Chao Qian
Changshui Zhang
Chang Xu
75
7
0
25 Mar 2022
Towards Device Efficient Conditional Image Generation
Towards Device Efficient Conditional Image Generation
Nisarg A. Shah
Gaurav Bharaj
99
3
0
19 Mar 2022
Delta Distillation for Efficient Video Processing
Delta Distillation for Efficient Video Processing
A. Habibian
H. Yahia
Davide Abati
E. Gavves
Fatih Porikli
36
12
0
17 Mar 2022
Complexity Reduction of Learned In-Loop Filtering in Video Coding
Complexity Reduction of Learned In-Loop Filtering in Video Coding
Woody Bayliss
L. Murn
E. Izquierdo
Qianni Zhang
M. Mrak
36
0
0
16 Mar 2022
Unified Visual Transformer Compression
Unified Visual Transformer Compression
Shixing Yu
Tianlong Chen
Jiayi Shen
Huan Yuan
Jianchao Tan
Sen Yang
Ji Liu
Zhangyang Wang
ViT
94
94
0
15 Mar 2022
AugShuffleNet: Communicate More, Compute Less
AugShuffleNet: Communicate More, Compute Less
Longqing Ye
44
8
0
13 Mar 2022
Improve Convolutional Neural Network Pruning by Maximizing Filter
  Variety
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
Nathan Hubens
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
88
2
0
11 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization
Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi
Suraj Srinivas
Simon Lacoste-Julien
85
18
0
09 Mar 2022
Update Compression for Deep Neural Networks on the Edge
Update Compression for Deep Neural Networks on the Edge
Bo Chen
A. Bakhshi
Gustavo E. A. P. A. Batista
Brian Ng
Tat-Jun Chin
55
18
0
09 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another
  in Neural Networks
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
105
49
0
09 Mar 2022
Dual Lottery Ticket Hypothesis
Dual Lottery Ticket Hypothesis
Yue Bai
Haiquan Wang
Zhiqiang Tao
Kunpeng Li
Yun Fu
83
40
0
08 Mar 2022
Dynamic ConvNets on Tiny Devices via Nested Sparsity
Dynamic ConvNets on Tiny Devices via Nested Sparsity
Matteo Grimaldi
Luca Mocerino
A. Cipolletta
A. Calimera
106
6
0
07 Mar 2022
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing
  Performance
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance
Shiwei Liu
Yuesong Tian
Tianlong Chen
Li Shen
98
11
0
05 Mar 2022
Structured Pruning is All You Need for Pruning CNNs at Initialization
Structured Pruning is All You Need for Pruning CNNs at Initialization
Yaohui Cai
Weizhe Hua
Hongzheng Chen
G. E. Suh
Christopher De Sa
Zhiru Zhang
CVBM
96
15
0
04 Mar 2022
Provable and Efficient Continual Representation Learning
Provable and Efficient Continual Representation Learning
Yingcong Li
Mingchen Li
M. Salman Asif
Samet Oymak
CLL
61
13
0
03 Mar 2022
Multi-Tailed Vision Transformer for Efficient Inference
Multi-Tailed Vision Transformer for Efficient Inference
Yunke Wang
Bo Du
Wenyuan Wang
Chang Xu
ViT
347
6
0
03 Mar 2022
Distilled Neural Networks for Efficient Learning to Rank
Distilled Neural Networks for Efficient Learning to Rank
F. M. Nardini
Cosimo Rulli
Salvatore Trani
Rossano Venturini
FedML
55
16
0
22 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient
  Training
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Tianlong Chen
Zhenyu Zhang
Pengju Wang
Santosh Balachandra
Haoyu Ma
Zehao Wang
Zhangyang Wang
OODAAML
149
50
0
20 Feb 2022
Practical Network Acceleration with Tiny Sets
Practical Network Acceleration with Tiny Sets
G. Wang
Jianxin Wu
97
11
0
16 Feb 2022
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural
  Networks
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks
Jiachen Zhong
Junying Chen
Ajmal Mian
46
63
0
15 Feb 2022
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest Filters
Mingbao Lin
Liujuan Cao
Yuxin Zhang
Ling Shao
Chia-Wen Lin
Rongrong Ji
80
53
0
15 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets
Finding Dynamics Preserving Adversarial Winning Tickets
Xupeng Shi
Pengfei Zheng
Adam Ding
Yuan Gao
Weizhong Zhang
AAML
73
1
0
14 Feb 2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
Tianlong Chen
Xuxi Chen
Xiaolong Ma
Yanzhi Wang
Zhangyang Wang
82
34
0
09 Feb 2022
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for
  Bayesian Deep Learning
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning
Meet P. Vadera
Adam D. Cobb
Brian Jalaian
Benjamin M. Marlin
BDL
46
2
0
08 Feb 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most
  Naive Baseline for Sparse Training
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
Shiwei Liu
Tianlong Chen
Xiaohan Chen
Li Shen
Decebal Constantin Mocanu
Zhangyang Wang
Mykola Pechenizkiy
103
113
0
05 Feb 2022
Robust Binary Models by Pruning Randomly-initialized Networks
Robust Binary Models by Pruning Randomly-initialized Networks
Chen Liu
Ziqi Zhao
Sabine Süsstrunk
Mathieu Salzmann
TPMAAMLMQ
87
4
0
03 Feb 2022
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