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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
Automatic Generation of Multi-precision Multi-arithmetic CNN
  Accelerators for FPGAs
Automatic Generation of Multi-precision Multi-arithmetic CNN Accelerators for FPGAs
Yiren Zhao
Xitong Gao
Xuan Guo
Junyi Liu
Erwei Wang
Robert D. Mullins
P. Cheung
George A. Constantinides
Chengzhong Xu
MQ
46
31
0
21 Oct 2019
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters
  (DeCEF)
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF)
Yinan Yu
Samuel Scheidegger
T. McKelvey
28
2
0
21 Oct 2019
Directed-Weighting Group Lasso for Eltwise Blocked CNN Pruning
Directed-Weighting Group Lasso for Eltwise Blocked CNN Pruning
Ke Zhan
Shi-qiang Jiang
Yunru Bai
Yuezun Li
Xu Liu
Zhuoran Xu
31
0
0
21 Oct 2019
Model Compression with Two-stage Multi-teacher Knowledge Distillation
  for Web Question Answering System
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System
Ze Yang
Linjun Shou
Ming Gong
Wutao Lin
Daxin Jiang
67
94
0
18 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
44
8
0
16 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on
  Smart Phone
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone
Tianchu Guo
Yongchao Liu
Hui Zhang
Xiabing Liu
Youngjun Kwak
ByungIn Yoo
Jae-Joon Han
Changkyu Choi
65
38
0
16 Oct 2019
Reduced-Order Modeling of Deep Neural Networks
Reduced-Order Modeling of Deep Neural Networks
Julia Gusak
Talgat Daulbaev
E. Ponomarev
A. Cichocki
Ivan Oseledets
BDLAI4CE
51
8
0
15 Oct 2019
Automatic Neural Network Compression by Sparsity-Quantization Joint
  Learning: A Constrained Optimization-based Approach
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach
Haichuan Yang
Shupeng Gui
Yuhao Zhu
Ji Liu
MQ
71
5
0
14 Oct 2019
Energy-Aware Neural Architecture Optimization with Fast Splitting
  Steepest Descent
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent
Dilin Wang
Meng Li
Lemeng Wu
Vikas Chandra
Qiang Liu
111
21
0
07 Oct 2019
Privacy Preserving Stochastic Channel-Based Federated Learning with
  Neural Network Pruning
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning
Rulin Shao
Hui Liu
Dianbo Liu
43
9
0
04 Oct 2019
Learning Efficient Convolutional Networks through Irregular
  Convolutional Kernels
Learning Efficient Convolutional Networks through Irregular Convolutional Kernels
Weiyu Guo
Jiabin Ma
Liang Wang
Yongzhen Huang
21
5
0
29 Sep 2019
Training convolutional neural networks with cheap convolutions and
  online distillation
Training convolutional neural networks with cheap convolutions and online distillation
Jiao Xie
Shaohui Lin
Yichen Zhang
Linkai Luo
63
12
0
28 Sep 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
97
165
0
27 Sep 2019
Pruning from Scratch
Pruning from Scratch
Yulong Wang
Xiaolu Zhang
Lingxi Xie
Jun Zhou
Hang Su
Bo Zhang
Xiaolin Hu
77
196
0
27 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
160
597
0
25 Sep 2019
Balancing Specialization, Generalization, and Compression for Detection
  and Tracking
Balancing Specialization, Generalization, and Compression for Detection and Tracking
Dotan Kaufman
Koby Bibas
Eran Borenstein
Michael Chertok
Tal Hassner
MQ
17
8
0
25 Sep 2019
Forward and Backward Information Retention for Accurate Binary Neural
  Networks
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin
Ruihao Gong
Xianglong Liu
Mingzhu Shen
Ziran Wei
F. Yu
Jingkuan Song
MQ
220
333
0
24 Sep 2019
Structured Binary Neural Networks for Image Recognition
Structured Binary Neural Networks for Image Recognition
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Peng Chen
Lingqiao Liu
Ian Reid
MQ
135
19
0
22 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
93
252
0
18 Sep 2019
Towards Efficient and Secure Delivery of Data for Deep Learning with
  Privacy-Preserving
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving
Juncheng Shen
Juzheng Liu
Yiran Chen
H. Li
FedML
18
6
0
17 Sep 2019
Complexity-Scalable Neural Network Based MIMO Detection With Learnable
  Weight Scaling
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling
A. Mohammad
C. Masouros
Y. Andreopoulos
60
28
0
12 Sep 2019
New Perspective of Interpretability of Deep Neural Networks
New Perspective of Interpretability of Deep Neural Networks
Masanari Kimura
Masayuki Tanaka
AAMLFAttFaMLAI4CE
35
6
0
12 Sep 2019
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep
  Residual Networks
VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks
Shuang Gao
Xin Liu
Lung-Sheng Chien
William Zhang
J. Álvarez
VLM3DPC
63
15
0
10 Sep 2019
Understanding the Effects of Pre-Training for Object Detectors via
  Eigenspectrum
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
Yosuke Shinya
E. Simo-Serra
Taiji Suzuki
48
12
0
09 Sep 2019
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for
  Real-time Execution on Mobile Devices
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
Xiaolong Ma
Fu-Ming Guo
Wei Niu
Xue Lin
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
CVBM
95
180
0
06 Sep 2019
PSDNet and DPDNet: Efficient channel expansion,
  Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
Guoqing Li
Meng Zhang
Qianru Zhang
Ziyang Chen
Wenzhao Liu
Jiaojie Li
Xuzhao Shen
Jian Li
Zhenyu Zhu
Chau Yuen
73
5
0
03 Sep 2019
DeepHoyer: Learning Sparser Neural Network with Differentiable
  Scale-Invariant Sparsity Measures
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
Huanrui Yang
W. Wen
H. Li
94
99
0
27 Aug 2019
Patient Knowledge Distillation for BERT Model Compression
Patient Knowledge Distillation for BERT Model Compression
S. Sun
Yu Cheng
Zhe Gan
Jingjing Liu
151
843
0
25 Aug 2019
Learning Filter Basis for Convolutional Neural Network Compression
Learning Filter Basis for Convolutional Neural Network Compression
Yawei Li
Shuhang Gu
Luc Van Gool
Radu Timofte
SupR
72
99
0
23 Aug 2019
Demystifying Learning Rate Policies for High Accuracy Training of Deep
  Neural Networks
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks
Yanzhao Wu
Ling Liu
Juhyun Bae
Ka-Ho Chow
Arun Iyengar
C. Pu
Wenqi Wei
Lei Yu
Qi Zhang
58
70
0
18 Aug 2019
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
Duo Li
Aojun Zhou
Anbang Yao
52
39
0
11 Aug 2019
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn
T. Martyniuk
Junru Wu
Zhangyang Wang
3DV
109
891
0
10 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth
  Weights and Activations
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang
Jing Liu
Mingkui Tan
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
99
46
0
10 Aug 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
Guosheng Lin
VLMObjD
131
824
0
10 Aug 2019
Group Pruning using a Bounded-Lp norm for Group Gating and
  Regularization
Group Pruning using a Bounded-Lp norm for Group Gating and Regularization
Chaithanya Kumar Mummadi
Tim Genewein
Dan Zhang
Thomas Brox
Volker Fischer
53
3
0
09 Aug 2019
Efficient Inference of CNNs via Channel Pruning
Efficient Inference of CNNs via Channel Pruning
Boyu Zhang
A. Davoodi
Y. Hu
CVBM
23
6
0
08 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
50
2
0
06 Aug 2019
Distributed Deep Convolutional Neural Networks for the
  Internet-of-Things
Distributed Deep Convolutional Neural Networks for the Internet-of-Things
Simone Disabato
M. Roveri
Cesare Alippi
64
50
0
02 Aug 2019
Accelerating CNN Training by Pruning Activation Gradients
Accelerating CNN Training by Pruning Activation Gradients
Xucheng Ye
Pengcheng Dai
Junyu Luo
Xin Guo
Weisheng Zhao
Jianlei Yang
Yiran Chen
23
2
0
01 Aug 2019
MoBiNet: A Mobile Binary Network for Image Classification
MoBiNet: A Mobile Binary Network for Image Classification
Hai T. Phan
Dang T. Huynh
Yihui He
Marios Savvides
Zhiqiang Shen
MQ
85
49
0
29 Jul 2019
Dense Feature Aggregation and Pruning for RGBT Tracking
Dense Feature Aggregation and Pruning for RGBT Tracking
Yabin Zhu
Chenglong Li
Bin Luo
Jin Tang
Tianlin Li
79
183
0
24 Jul 2019
BPPSA: Scaling Back-propagation by Parallel Scan Algorithm
BPPSA: Scaling Back-propagation by Parallel Scan Algorithm
Shang Wang
Yifan Bai
Gennady Pekhimenko
60
7
0
23 Jul 2019
Compact Global Descriptor for Neural Networks
Xiangyu He
Ke Cheng
Qiang Chen
Qinghao Hu
Peisong Wang
Jian Cheng
68
8
0
23 Jul 2019
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles
EnSyth: A Pruning Approach to Synthesis of Deep Learning Ensembles
Besher Alhalabi
M. Gaber
S. Basurra
26
3
0
22 Jul 2019
Batch-Shaping for Learning Conditional Channel Gated Networks
Batch-Shaping for Learning Conditional Channel Gated Networks
B. Bejnordi
Tijmen Blankevoort
Max Welling
AI4CE
89
77
0
15 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
85
11
0
13 Jul 2019
Dual Dynamic Inference: Enabling More Efficient, Adaptive and
  Controllable Deep Inference
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference
Yue Wang
Jianghao Shen
Ting-Kuei Hu
Pengfei Xu
T. Nguyen
Richard Baraniuk
Zhangyang Wang
Yingyan Lin
91
77
0
10 Jul 2019
Data-Independent Neural Pruning via Coresets
Data-Independent Neural Pruning via Coresets
Ben Mussay
Margarita Osadchy
Vladimir Braverman
Samson Zhou
Dan Feldman
104
60
0
09 Jul 2019
EPNAS: Efficient Progressive Neural Architecture Search
EPNAS: Efficient Progressive Neural Architecture Search
Yanqi Zhou
Peng Wang
Sercan O. Arik
Haonan Yu
Syed Zawad
Feng Yan
G. Diamos
47
5
0
07 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
98
188
0
06 Jul 2019
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