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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
Model Preserving Compression for Neural Networks
Model Preserving Compression for Neural Networks
Jerry Chee
Megan Flynn
Anil Damle
Chris De Sa
35
10
0
30 Jul 2021
Tiny Machine Learning for Concept Drift
Tiny Machine Learning for Concept Drift
Simone Disabato
M. Roveri
76
28
0
30 Jul 2021
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep
  and Complicated CNN
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
Xiaohan Ding
Tianxiang Hao
Jungong Han
Yuchen Guo
Guiguang Ding
74
14
0
30 Jul 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression with
  Optimization Framework
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework
Miao Yin
Yang Sui
Siyu Liao
Bo Yuan
60
81
0
26 Jul 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise
  Decomposition
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Lucas Liebenwein
Alaa Maalouf
O. Gal
Dan Feldman
Daniela Rus
75
47
0
23 Jul 2021
Pruning Ternary Quantization
Danyang Liu
Xiangshan Chen
Jie Fu
Chen Ma
Xue Liu
MQ
72
0
0
23 Jul 2021
Boosting the Convergence of Reinforcement Learning-based Auto-pruning
  Using Historical Data
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data
Jiandong Mu
Mengdi Wang
Feiwen Zhu
Jun Yang
Weiran Lin
Wei Zhang
OnRL
44
2
0
16 Jul 2021
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference
Chaojian Li
Wuyang Chen
Yuchen Gu
Tianlong Chen
Yonggan Fu
Zhangyang Wang
Yingyan Lin
112
0
0
16 Jul 2021
Only Train Once: A One-Shot Neural Network Training And Pruning
  Framework
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Tianyi Chen
Bo Ji
Tianyu Ding
Biyi Fang
Guanyi Wang
Zhihui Zhu
Luming Liang
Yixin Shi
Sheng Yi
Xiao Tu
127
105
0
15 Jul 2021
Training Compact CNNs for Image Classification using Dynamic-coded
  Filter Fusion
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion
Mingbao Lin
Bohong Chen
Yong Li
Rongrong Ji
VLM
75
24
0
14 Jul 2021
LANA: Latency Aware Network Acceleration
LANA: Latency Aware Network Acceleration
Pavlo Molchanov
Jimmy Hall
Hongxu Yin
Jan Kautz
Nicolò Fusi
Arash Vahdat
139
10
0
12 Jul 2021
Structured Directional Pruning via Perturbation Orthogonal Projection
Structured Directional Pruning via Perturbation Orthogonal Projection
YinchuanLi
XiaofengLiu
YunfengShao
QingWang
YanhuiGeng
48
2
0
12 Jul 2021
Blending Pruning Criteria for Convolutional Neural Networks
Blending Pruning Criteria for Convolutional Neural Networks
Wei He
Zhongzhan Huang
Mingfu Liang
Senwei Liang
Haizhao Yang
CVBM
65
15
0
11 Jul 2021
WeClick: Weakly-Supervised Video Semantic Segmentation with Click
  Annotations
WeClick: Weakly-Supervised Video Semantic Segmentation with Click Annotations
Peidong Liu
Zibin He
Xiyu Yan
Yong Jiang
Shutao Xia
Feng Zheng
Maowei Hu
67
11
0
07 Jul 2021
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget
Nathan Hubens
M. Mancas
B. Gosselin
Marius Preda
T. Zaharia
80
8
0
05 Jul 2021
Content-Aware Convolutional Neural Networks
Content-Aware Convolutional Neural Networks
Yong Guo
Yaofo Chen
Mingkui Tan
Kui Jia
Jian Chen
Jingdong Wang
82
9
0
30 Jun 2021
Mitigating severe over-parameterization in deep convolutional neural
  networks through forced feature abstraction and compression with an
  entropy-based heuristic
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic
Nidhi Gowdra
R. Sinha
Stephen G. MacDonell
W. Yan
25
9
0
27 Jun 2021
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision
  Transformers
IA-RED2^22: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan
Yikang Shen
Yi Ding
Zhangyang Wang
Rogerio Feris
A. Oliva
VLMViT
145
165
0
23 Jun 2021
Cogradient Descent for Dependable Learning
Cogradient Descent for Dependable Learning
Runqi Wang
Baochang Zhang
Lian Zhuo
QiXiang Ye
David Doermann
30
0
0
20 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning
CompConv: A Compact Convolution Module for Efficient Feature Learning
Chen Zhang
Yinghao Xu
Yujun Shen
VLMSSL
51
10
0
19 Jun 2021
Improving DNN Fault Tolerance using Weight Pruning and Differential
  Crossbar Mapping for ReRAM-based Edge AI
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI
Geng Yuan
Zhiheng Liao
Xiaolong Ma
Yuxuan Cai
Zhenglun Kong
...
Hongwu Peng
Ning Liu
Ao Ren
Jinhui Wang
Yanzhi Wang
AAML
106
33
0
16 Jun 2021
Efficient Micro-Structured Weight Unification and Pruning for Neural
  Network Compression
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression
Sheng Lin
Wei Jiang
Wei Wang
Kaidi Xu
Yanzhi Wang
Shan Liu
Songnan Li
43
1
0
15 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
Nianhui Guo
Joseph Bethge
Haojin Yang
Kai Zhong
Xuefei Ning
Christoph Meinel
Yu Wang
MQ
63
11
0
13 Jun 2021
Sparse PointPillars: Maintaining and Exploiting Input Sparsity to
  Improve Runtime on Embedded Systems
Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems
Kyle Vedder
Eric Eaton
3DPC
50
13
0
12 Jun 2021
Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
Dynamic Clone Transformer for Efficient Convolutional Neural Netwoks
Longqing Ye
ViT
36
0
0
12 Jun 2021
DECORE: Deep Compression with Reinforcement Learning
DECORE: Deep Compression with Reinforcement Learning
Manoj Alwani
Yang Wang
Vashisht Madhavan
AI4CE
73
44
0
11 Jun 2021
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
Maciej Wołczyk
Bartosz Wójcik
Klaudia Bałazy
Igor T. Podolak
Jacek Tabor
Marek Śmieja
Tomasz Trzciñski
AI4CE
76
51
0
09 Jun 2021
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen
Yu Cheng
Zhe Gan
Lu Yuan
Lei Zhang
Zhangyang Wang
ViT
70
224
0
08 Jun 2021
Heavy Tails in SGD and Compressibility of Overparametrized Neural
  Networks
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Melih Barsbey
Romain Chor
Murat A. Erdogdu
Gaël Richard
Umut Simsekli
73
41
0
07 Jun 2021
Feature Flow Regularization: Improving Structured Sparsity in Deep
  Neural Networks
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks
Yue Wu
Yuan Lan
Luchan Zhang
Yang Xiang
51
6
0
05 Jun 2021
Patch Slimming for Efficient Vision Transformers
Patch Slimming for Efficient Vision Transformers
Yehui Tang
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chao Xu
Dacheng Tao
ViT
107
168
0
05 Jun 2021
DynamicViT: Efficient Vision Transformers with Dynamic Token
  Sparsification
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao
Wenliang Zhao
Benlin Liu
Jiwen Lu
Jie Zhou
Cho-Jui Hsieh
ViT
143
711
0
03 Jun 2021
Single Image Depth Prediction with Wavelet Decomposition
Single Image Depth Prediction with Wavelet Decomposition
Michael Ramamonjisoa
Michael Firman
Jamie Watson
Vincent Lepetit
Daniyar Turmukhambetov
MDE
110
55
0
03 Jun 2021
GANs Can Play Lottery Tickets Too
GANs Can Play Lottery Tickets Too
Xuxi Chen
Zhenyu Zhang
Yongduo Sui
Tianlong Chen
GAN
82
58
0
31 May 2021
Continual 3D Convolutional Neural Networks for Real-time Processing of
  Videos
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos
Lukas Hedegaard
Alexandros Iosifidis
3DPC
87
15
0
31 May 2021
Accelerating Neural ODEs Using Model Order Reduction
Accelerating Neural ODEs Using Model Order Reduction
M. Lehtimäki
L. Paunonen
M. Linne
73
19
0
28 May 2021
Dynamic Probabilistic Pruning: A general framework for
  hardware-constrained pruning at different granularities
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities
L. Gonzalez-Carabarin
Iris A. M. Huijben
Bastian Veeling
A. Schmid
Ruud J. G. van Sloun
59
11
0
26 May 2021
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression
  using a Single Network
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network
Jinyang Guo
Dong Xu
Guo Lu
48
9
0
26 May 2021
Towards Compact CNNs via Collaborative Compression
Towards Compact CNNs via Collaborative Compression
Yuchao Li
Shaohui Lin
Jianzhuang Liu
QiXiang Ye
Mengdi Wang
Yong Li
Fan Yang
Jincheng Ma
Qi Tian
Rongrong Ji
3DV
68
88
0
24 May 2021
AirNet: Neural Network Transmission over the Air
AirNet: Neural Network Transmission over the Air
Mikolaj Jankowski
Deniz Gunduz
K. Mikolajczyk
117
1
0
24 May 2021
BCNet: Searching for Network Width with Bilaterally Coupled Network
BCNet: Searching for Network Width with Bilaterally Coupled Network
Xiu Su
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Chang Xu
131
35
0
21 May 2021
Compressing Deep CNNs using Basis Representation and Spectral
  Fine-tuning
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
M. Tayyab
Fahad A Khan
Abhijit Mahalanobis
3DPC
27
1
0
21 May 2021
Extremely Lightweight Quantization Robust Real-Time Single-Image Super
  Resolution for Mobile Devices
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices
Mustafa Ayazoglu
56
59
0
21 May 2021
Efficient and Robust LiDAR-Based End-to-End Navigation
Efficient and Robust LiDAR-Based End-to-End Navigation
Zhijian Liu
Alexander Amini
Sibo Zhu
S. Karaman
Song Han
Daniela Rus
251
48
0
20 May 2021
Model Pruning Based on Quantified Similarity of Feature Maps
Model Pruning Based on Quantified Similarity of Feature Maps
Zidu Wang
Xue-jun Liu
Long Huang
Yuxiang Chen
Yufei Zhang
Zhikang Lin
Rui Wang
48
18
0
13 May 2021
Compatibility-aware Heterogeneous Visual Search
Compatibility-aware Heterogeneous Visual Search
Rahul Duggal
Hao Zhou
Shuo Yang
Yuanjun Xiong
Wei Xia
Zhuowen Tu
Stefano Soatto
92
24
0
13 May 2021
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning
Huan Wang
Can Qin
Yue Bai
Y. Fu
53
5
0
12 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Hongkuan Zhou
Ajitesh Srivastava
Hanqing Zeng
Rajgopal Kannan
Viktor Prasanna
GNN
61
68
0
10 May 2021
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative
  Architecture for DNN Inference
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference
Min Li
Yu Li
Ye Tian
Li Jiang
Qiang Xu
92
36
0
10 May 2021
EZCrop: Energy-Zoned Channels for Robust Output Pruning
EZCrop: Energy-Zoned Channels for Robust Output Pruning
R. Lin
Jie Ran
Dongpeng Wang
King Hung Chiu
Ngai Wong
47
6
0
08 May 2021
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