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Discrimination-aware Channel Pruning for Deep Neural Networks

Discrimination-aware Channel Pruning for Deep Neural Networks

28 October 2018
Zhuangwei Zhuang
Mingkui Tan
Bohan Zhuang
Jing Liu
Yong Guo
Qingyao Wu
Junzhou Huang
Jin-Hui Zhu
ArXivPDFHTML

Papers citing "Discrimination-aware Channel Pruning for Deep Neural Networks"

44 / 94 papers shown
Title
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization
  Framework
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Runbin Shi
Hayden Kwok-Hay So
Xuehai Qian
Yanzhi Wang
Xue Lin
MQ
26
82
0
08 Dec 2020
ProtoPShare: Prototype Sharing for Interpretable Image Classification
  and Similarity Discovery
ProtoPShare: Prototype Sharing for Interpretable Image Classification and Similarity Discovery
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
19
111
0
29 Nov 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 2020
SCOP: Scientific Control for Reliable Neural Network Pruning
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
50
166
0
21 Oct 2020
Kernel Based Progressive Distillation for Adder Neural Networks
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu
Chang Xu
Xinghao Chen
Wei Zhang
Chunjing Xu
Yunhe Wang
41
47
0
28 Sep 2020
Conditional Automated Channel Pruning for Deep Neural Networks
Conditional Automated Channel Pruning for Deep Neural Networks
Yixin Liu
Yong Guo
Zichang Liu
Hao Liu
Jingjie Zhang
Zejun Chen
Jing Liu
Jian Chen
14
16
0
21 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network)
  Compression
Transform Quantization for CNN (Convolutional Neural Network) Compression
Sean I. Young
Wang Zhe
David S. Taubman
B. Girod
MQ
29
69
0
02 Sep 2020
Stable Low-rank Tensor Decomposition for Compression of Convolutional
  Neural Network
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network
Anh-Huy Phan
Konstantin Sobolev
Konstantin Sozykin
Dmitry Ermilov
Julia Gusak
P. Tichavský
Valeriy Glukhov
Ivan Oseledets
A. Cichocki
BDL
27
128
0
12 Aug 2020
AQD: Towards Accurate Fully-Quantized Object Detection
AQD: Towards Accurate Fully-Quantized Object Detection
Peng Chen
Jing Liu
Bohan Zhuang
Mingkui Tan
Chunhua Shen
MQ
29
10
0
14 Jul 2020
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Dynamic Group Convolution for Accelerating Convolutional Neural Networks
Z. Su
Linpu Fang
Wenxiong Kang
D. Hu
M. Pietikäinen
Li Liu
15
44
0
08 Jul 2020
A Framework for Neural Network Pruning Using Gibbs Distributions
A Framework for Neural Network Pruning Using Gibbs Distributions
Alex Labach
S. Valaee
9
5
0
08 Jun 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
47
19
0
18 May 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
18
25
0
27 Apr 2020
Dense Regression Network for Video Grounding
Dense Regression Network for Video Grounding
Runhao Zeng
Haoming Xu
Wenbing Huang
Peihao Chen
Mingkui Tan
Chuang Gan
22
283
0
07 Apr 2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Disturbance-immune Weight Sharing for Neural Architecture Search
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yong Guo
P. Zhao
Junzhou Huang
Mingkui Tan
15
27
0
29 Mar 2020
GAN Compression: Efficient Architectures for Interactive Conditional
  GANs
GAN Compression: Efficient Architectures for Interactive Conditional GANs
Muyang Li
Ji Lin
Yaoyao Ding
Zhijian Liu
Jun-Yan Zhu
Song Han
GAN
22
2
0
19 Mar 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Yuhang Li
Wei Wang
Haoli Bai
Ruihao Gong
Xin Dong
F. Yu
MQ
21
20
0
17 Mar 2020
SASL: Saliency-Adaptive Sparsity Learning for Neural Network
  Acceleration
SASL: Saliency-Adaptive Sparsity Learning for Neural Network Acceleration
Jun Shi
Jianfeng Xu
K. Tasaka
Zhibo Chen
6
25
0
12 Mar 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the
  Wild
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
Rahul Duggal
Scott Freitas
Cao Xiao
Duen Horng Chau
Jimeng Sun
28
22
0
29 Jan 2020
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted
  Regularization Method
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method
Xiaolong Ma
Zechao Li
Yifan Gong
Tianyun Zhang
Wei Niu
...
Pu Zhao
Jian Tang
X. Lin
Bin Ren
Yanzhi Wang
28
14
0
23 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on
  Mobile Devices
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Xiaolong Ma
Wei Niu
Tianyun Zhang
Sijia Liu
Sheng Lin
...
Xiang Chen
Jian Tang
Kaisheng Ma
Bin Ren
Yanzhi Wang
35
27
0
20 Jan 2020
Modeling of Pruning Techniques for Deep Neural Networks Simplification
Modeling of Pruning Techniques for Deep Neural Networks Simplification
Morteza Mousa Pasandi
M. Hajabdollahi
N. Karimi
S. Samavi
3DPC
16
18
0
13 Jan 2020
Sparse Weight Activation Training
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
34
73
0
07 Jan 2020
Discrimination-aware Network Pruning for Deep Model Compression
Discrimination-aware Network Pruning for Deep Model Compression
Jing Liu
Bohan Zhuang
Zhuangwei Zhuang
Yong Guo
Junzhou Huang
Jin-Hui Zhu
Mingkui Tan
CVBM
19
119
0
04 Jan 2020
AdderNet: Do We Really Need Multiplications in Deep Learning?
AdderNet: Do We Really Need Multiplications in Deep Learning?
Hanting Chen
Yunhe Wang
Chunjing Xu
Boxin Shi
Chao Xu
Qi Tian
Chang Xu
29
194
0
31 Dec 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
22
17
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
16
246
0
18 Sep 2019
Graph Convolutional Networks for Temporal Action Localization
Graph Convolutional Networks for Temporal Action Localization
Runhao Zeng
Wenbing Huang
Mingkui Tan
Yu Rong
P. Zhao
Junzhou Huang
Chuang Gan
GNN
22
475
0
07 Sep 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
29
44
0
10 Aug 2019
Compact Global Descriptor for Neural Networks
Xiangyu He
Ke Cheng
Qiang Chen
Qinghao Hu
Peisong Wang
Jian Cheng
31
8
0
23 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
24
11
0
13 Jul 2019
GAN-Knowledge Distillation for one-stage Object Detection
GAN-Knowledge Distillation for one-stage Object Detection
Wanwei Wang
Jin ke Yu Fan Zong
ObjD
19
28
0
20 Jun 2019
Efficient Evaluation-Time Uncertainty Estimation by Improved
  Distillation
Efficient Evaluation-Time Uncertainty Estimation by Improved Distillation
Erik Englesson
Hossein Azizpour
UQCV
19
7
0
12 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks
Parameterized Structured Pruning for Deep Neural Networks
Günther Schindler
Wolfgang Roth
Franz Pernkopf
Holger Froening
24
6
0
12 Jun 2019
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
Keivan Alizadeh-Vahid
Anish K. Prabhu
Ali Farhadi
Mohammad Rastegari
32
50
0
05 Jun 2019
Dynamic Neural Network Channel Execution for Efficient Training
Dynamic Neural Network Channel Execution for Efficient Training
Simeon E. Spasov
Pietro Lió
19
4
0
15 May 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
16
170
0
28 Apr 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
18
26
0
12 Mar 2019
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
Dynamic Channel Pruning: Feature Boosting and Suppression
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao
Yiren Zhao
L. Dudziak
Robert D. Mullins
Chengzhong Xu
42
311
0
12 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network
  using Truncated Gaussian Approximation
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation
Zhezhi He
Deliang Fan
MQ
16
66
0
02 Oct 2018
Deep Asymmetric Networks with a Set of Node-wise Variant Activation
  Functions
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions
Jinhyeok Jang
Hyunjoong Cho
Jaehong Kim
Jaeyeon Lee
Seungjoon Yang
18
2
0
11 Sep 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
15
180
0
29 May 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
337
1,049
0
10 Feb 2017
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