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Channel Pruning for Accelerating Very Deep Neural Networks

Channel Pruning for Accelerating Very Deep Neural Networks

19 July 2017
Yihui He
Xiangyu Zhang
Jian-jun Sun
ArXivPDFHTML

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

50 / 1,090 papers shown
Title
Towards Optimal Structured CNN Pruning via Generative Adversarial
  Learning
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Shaohui Lin
R. Ji
Chenqian Yan
Baochang Zhang
Liujuan Cao
QiXiang Ye
Feiyue Huang
David Doermann
CVBM
11
503
0
22 Mar 2019
Rectified Decision Trees: Towards Interpretability, Compression and
  Empirical Soundness
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness
Jiawang Bai
Yiming Li
Jiawei Li
Yong Jiang
Shutao Xia
29
14
0
14 Mar 2019
All You Need is a Few Shifts: Designing Efficient Convolutional Neural
  Networks for Image Classification
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Weijie Chen
Di Xie
Yuan Zhang
Shiliang Pu
24
80
0
13 Mar 2019
Cascaded Projection: End-to-End Network Compression and Acceleration
Cascaded Projection: End-to-End Network Compression and Acceleration
Breton L. Minnehan
Andreas E. Savakis
16
26
0
12 Mar 2019
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object
  Detection
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
Seijoon Kim
Seongsik Park
Byunggook Na
Sungroh Yoon
ObjD
6
406
0
12 Mar 2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
Pravendra Singh
Vinay K. Verma
Piyush Rai
Vinay P. Namboodiri
15
93
0
11 Mar 2019
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step
  Pruning
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
Wenqi Shi
Yunzhong Hou
Sheng Zhou
Z. Niu
Yang Zhang
Lu Geng
19
83
0
08 Mar 2019
Stabilizing the Lottery Ticket Hypothesis
Stabilizing the Lottery Ticket Hypothesis
Jonathan Frankle
Gintare Karolina Dziugaite
Daniel M. Roy
Michael Carbin
11
103
0
05 Mar 2019
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT
  Applications
Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications
Dibakar Gope
Ganesh S. Dasika
Matthew Mattina
22
23
0
04 Mar 2019
Collaborative Spatio-temporal Feature Learning for Video Action
  Recognition
Collaborative Spatio-temporal Feature Learning for Video Action Recognition
C. Li
Qiaoyong Zhong
Di Xie
Shiliang Pu
19
82
0
04 Mar 2019
Dynamic Multi-path Neural Network
Dynamic Multi-path Neural Network
Yingcheng Su
Shunfeng Zhou
Yichao Wu
Tian Su
Ding Liang
Xuebo Liu
Dixin Zheng
Yingxu Wang
Junjie Yan
Xiaolin Hu
11
1
0
28 Feb 2019
Efficient Video Classification Using Fewer Frames
Efficient Video Classification Using Fewer Frames
S. Bhardwaj
Mukundhan Srinivasan
Mitesh M. Khapra
40
88
0
27 Feb 2019
Multi-loss-aware Channel Pruning of Deep Networks
Multi-loss-aware Channel Pruning of Deep Networks
Yiming Hu
Siyang Sun
Jianquan Li
Jiagang Zhu
Xingang Wang
Qingyi Gu
9
8
0
27 Feb 2019
Speeding up convolutional networks pruning with coarse ranking
Speeding up convolutional networks pruning with coarse ranking
Z. Wang
Chengcheng Li
Dali Wang
Xiangyang Wang
Hairong Qi
13
0
0
18 Feb 2019
Single-shot Channel Pruning Based on Alternating Direction Method of
  Multipliers
Single-shot Channel Pruning Based on Alternating Direction Method of Multipliers
Chengcheng Li
Z. Wang
Xiangyang Wang
Hairong Qi
11
5
0
18 Feb 2019
Parameter Efficient Training of Deep Convolutional Neural Networks by
  Dynamic Sparse Reparameterization
Parameter Efficient Training of Deep Convolutional Neural Networks by Dynamic Sparse Reparameterization
Hesham Mostafa
Xin Wang
29
307
0
15 Feb 2019
Effective Network Compression Using Simulation-Guided Iterative Pruning
Effective Network Compression Using Simulation-Guided Iterative Pruning
Dae-Woong Jeong
Jaehun Kim
Youngseok Kim
Tae-Ho Kim
Myungsu Chae
14
0
0
12 Feb 2019
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model
  Compression
MICIK: MIning Cross-Layer Inherent Similarity Knowledge for Deep Model Compression
Jie Zhang
Xiaolong Wang
Dawei Li
Shalini Ghosh
Abhishek Kolagunda
Yalin Wang
14
0
0
03 Feb 2019
PruneTrain: Fast Neural Network Training by Dynamic Sparse Model
  Reconfiguration
PruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration
Sangkug Lym
Esha Choukse
Siavash Zangeneh
W. Wen
Sujay Sanghavi
M. Erez
CVBM
4
87
0
26 Jan 2019
Really should we pruning after model be totally trained? Pruning based
  on a small amount of training
Really should we pruning after model be totally trained? Pruning based on a small amount of training
Li Yue
Zhao Weibin
Shang-Te Lin
VLM
9
5
0
24 Jan 2019
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in
  Compressive Autoencoders
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders
Haimeng Zhao
Peiyuan Liao
19
5
0
22 Jan 2019
Deep Neural Network Approximation for Custom Hardware: Where We've Been,
  Where We're Going
Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going
Erwei Wang
James J. Davis
Ruizhe Zhao
Ho-Cheung Ng
Xinyu Niu
Wayne Luk
P. Cheung
G. Constantinides
19
59
0
21 Jan 2019
URNet : User-Resizable Residual Networks with Conditional Gating Module
URNet : User-Resizable Residual Networks with Conditional Gating Module
Sang-ho Lee
Simyung Chang
Nojun Kwak
13
11
0
15 Jan 2019
How Compact?: Assessing Compactness of Representations through
  Layer-Wise Pruning
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning
Hyun-Joo Jung
Jaedeok Kim
Yoonsuck Choe
8
0
0
09 Jan 2019
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using
  Alternating Direction Method of Multipliers
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
Ao Ren
Tianyun Zhang
Shaokai Ye
Jiayu Li
Wenyao Xu
Xuehai Qian
X. Lin
Yanzhi Wang
MQ
29
162
0
31 Dec 2018
Studying the Plasticity in Deep Convolutional Neural Networks using
  Random Pruning
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Deepak Mittal
S. Bhardwaj
Mitesh M. Khapra
Balaraman Ravindran
3DPC
17
31
0
26 Dec 2018
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese
  Text Recognition
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition
Zirui Wang
Jun Du
Jiaming Wang
11
55
0
24 Dec 2018
An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition
An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition
Devesh Walawalkar
Yihui He
R. Pillai
17
1
0
21 Dec 2018
Slimmable Neural Networks
Slimmable Neural Networks
Jiahui Yu
L. Yang
N. Xu
Jianchao Yang
Thomas Huang
22
547
0
21 Dec 2018
DAC: Data-free Automatic Acceleration of Convolutional Networks
DAC: Data-free Automatic Acceleration of Convolutional Networks
Xin Li
Shuai Zhang
Bolan Jiang
Y. Qi
Mooi Choo Choo Chuah
N. Bi
19
7
0
20 Dec 2018
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision
  Neural Networks
SQuantizer: Simultaneous Learning for Both Sparse and Low-precision Neural Networks
M. Park
Xiaofang Xu
C. Brick
MQ
25
8
0
20 Dec 2018
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards
  Accurate Lightweight Networks
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
Weijie Chen
Yuan Zhang
Di Xie
Shiliang Pu
11
13
0
17 Dec 2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Yuchao Li
Shaohui Lin
Baochang Zhang
Jianzhuang Liu
David Doermann
Yongjian Wu
Feiyue Huang
R. Ji
40
130
0
11 Dec 2018
A Main/Subsidiary Network Framework for Simplifying Binary Neural
  Network
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
Yinghao Xu
Xin Dong
Yudian Li
Hao Su
22
27
0
11 Dec 2018
Channel selection using Gumbel Softmax
Channel selection using Gumbel Softmax
Charles Herrmann
Richard Strong Bowen
Ramin Zabih
23
3
0
11 Dec 2018
Trained Rank Pruning for Efficient Deep Neural Networks
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
20
42
0
06 Dec 2018
ECC: Platform-Independent Energy-Constrained Deep Neural Network
  Compression via a Bilinear Regression Model
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model
Haichuan Yang
Yuhao Zhu
Ji Liu
17
40
0
05 Dec 2018
Neural Rejuvenation: Improving Deep Network Training by Enhancing
  Computational Resource Utilization
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization
Siyuan Qiao
Zhe-nan Lin
Jianming Zhang
Alan Yuille
8
23
0
02 Dec 2018
Accelerate CNN via Recursive Bayesian Pruning
Accelerate CNN via Recursive Bayesian Pruning
Yuefu Zhou
Ya-Qin Zhang
Yanfeng Wang
Qi Tian
BDL
20
58
0
02 Dec 2018
Efficient Neural Network Compression
Efficient Neural Network Compression
Hyeji Kim
Muhammad Umar Karim Khan
C. Kyung
11
1
0
30 Nov 2018
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete
  Back Propagation
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Jiaxin Gu
Ce Li
Baochang Zhang
J. Han
Xianbin Cao
Jianzhuang Liu
David Doermann
3DV
173
86
0
30 Nov 2018
Efficient Semantic Segmentation for Visual Bird's-eye View
  Interpretation
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation
Timo Sämann
Karl Amende
Stefan Milz
Christian Witt
Martin Simon
Johannes Petzold
VLM
18
12
0
29 Nov 2018
Leveraging Filter Correlations for Deep Model Compression
Leveraging Filter Correlations for Deep Model Compression
Pravendra Singh
Vinay K. Verma
Piyush Rai
Vinay P. Namboodiri
8
65
0
26 Nov 2018
Structured Binary Neural Networks for Accurate Image Classification and
  Semantic Segmentation
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
27
152
0
22 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Kuan-Chieh Jackson Wang
Zhijian Liu
Yujun Lin
Ji Lin
Song Han
MQ
41
872
0
21 Nov 2018
Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural
  Networks
Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks
Mengdi Wang
Qing Zhang
Jun Yang
Xiaoyuan Cui
Wei Lin
GNN
21
2
0
21 Nov 2018
Structured Pruning for Efficient ConvNets via Incremental Regularization
Structured Pruning for Efficient ConvNets via Incremental Regularization
Huan Wang
Qiming Zhang
Yuehai Wang
Haoji Hu
3DPC
40
45
0
20 Nov 2018
Multi-layer Pruning Framework for Compressing Single Shot MultiBox
  Detector
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector
Pravendra Singh
Manikandan Ravikiran
Neeraj Matiyali
Vinay P. Namboodiri
14
21
0
20 Nov 2018
RePr: Improved Training of Convolutional Filters
RePr: Improved Training of Convolutional Filters
Aaditya (Adi) Prakash
J. Storer
D. Florêncio
Cha Zhang
VLM
CVBM
16
57
0
18 Nov 2018
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise
  Separable Convolution
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution
Van-Thanh Hoang
K. Jo
19
3
0
17 Nov 2018
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