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Learning Efficient Convolutional Networks through Network Slimming

Learning Efficient Convolutional Networks through Network Slimming

22 August 2017
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
ArXivPDFHTML

Papers citing "Learning Efficient Convolutional Networks through Network Slimming"

50 / 250 papers shown
Title
Glance and Focus Networks for Dynamic Visual Recognition
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang
Yulin Wang
Kangchen Lv
Haojun Jiang
Wenhui Huang
Pengfei Qi
S. Song
3DH
73
49
0
09 Jan 2022
An Empirical Study of Adder Neural Networks for Object Detection
An Empirical Study of Adder Neural Networks for Object Detection
Xinghao Chen
Chang Xu
Minjing Dong
Chunjing Xu
Yunhe Wang
85
15
0
27 Dec 2021
Network Compression via Central Filter
Network Compression via Central Filter
Y. Duan
Xiaofang Hu
Yue Zhou
Qiang Liu
Shukai Duan
3DPC
14
1
0
10 Dec 2021
Low-rank Tensor Decomposition for Compression of Convolutional Neural
  Networks Using Funnel Regularization
Low-rank Tensor Decomposition for Compression of Convolutional Neural Networks Using Funnel Regularization
Bo-Shiuan Chu
Che-Rung Lee
18
11
0
07 Dec 2021
Batch Normalization Tells You Which Filter is Important
Batch Normalization Tells You Which Filter is Important
Junghun Oh
Heewon Kim
Sungyong Baik
Chee Hong
Kyoung Mu Lee
CVBM
24
8
0
02 Dec 2021
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via
  Generalized Straight-Through Estimation
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Zechun Liu
Kwang-Ting Cheng
Dong Huang
Eric P. Xing
Zhiqiang Shen
MQ
25
102
0
29 Nov 2021
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time
  Mobile Acceleration
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration
Yifan Gong
Geng Yuan
Zheng Zhan
Wei Niu
Zhengang Li
...
Sijia Liu
Bin Ren
Xue Lin
Xulong Tang
Yanzhi Wang
20
10
0
22 Nov 2021
Automatic Neural Network Pruning that Efficiently Preserves the Model
  Accuracy
Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy
Thibault Castells
Seul-Ki Yeom
3DV
18
3
0
18 Nov 2021
Dynamically pruning segformer for efficient semantic segmentation
Dynamically pruning segformer for efficient semantic segmentation
Haoli Bai
Hongda Mao
D. Nair
25
20
0
18 Nov 2021
Robust and Accurate Object Detection via Self-Knowledge Distillation
Robust and Accurate Object Detection via Self-Knowledge Distillation
Weipeng Xu
Pengzhi Chu
Renhao Xie
Xiongziyan Xiao
Hongcheng Huang
AAML
ObjD
24
4
0
14 Nov 2021
Efficient Neural Network Training via Forward and Backward Propagation
  Sparsification
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou
Weizhong Zhang
Zonghao Chen
Shizhe Diao
Tong Zhang
29
46
0
10 Nov 2021
Gabor filter incorporated CNN for compression
Gabor filter incorporated CNN for compression
Akihiro Imamura
N. Arizumi
CVBM
22
2
0
29 Oct 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Ji Lin
Wei-Ming Chen
Han Cai
Chuang Gan
Song Han
34
152
0
28 Oct 2021
Revisiting Discriminator in GAN Compression: A Generator-discriminator
  Cooperative Compression Scheme
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Shaojie Li
Jie Wu
Xuefeng Xiao
Fei Chao
Xudong Mao
Rongrong Ji
23
35
0
27 Oct 2021
Class-Discriminative CNN Compression
Class-Discriminative CNN Compression
Yuchen Liu
D. Wentzlaff
S. Kung
26
1
0
21 Oct 2021
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
Yanli Liu
Bochen Guan
Qinwen Xu
Weiyi Li
Shuxue Quan
25
2
0
21 Oct 2021
Differentiable Network Pruning for Microcontrollers
Differentiable Network Pruning for Microcontrollers
Edgar Liberis
Nicholas D. Lane
22
18
0
15 Oct 2021
ProgFed: Effective, Communication, and Computation Efficient Federated
  Learning by Progressive Training
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
Hui-Po Wang
Sebastian U. Stich
Yang He
Mario Fritz
FedML
AI4CE
28
46
0
11 Oct 2021
Weight Evolution: Improving Deep Neural Networks Training through
  Evolving Inferior Weight Values
Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values
Zhenquan Lin
K. Guo
Xiaofen Xing
Xiangmin Xu
ODL
24
1
0
09 Oct 2021
LCS: Learning Compressible Subspaces for Adaptive Network Compression at
  Inference Time
LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time
Elvis Nunez
Maxwell Horton
Anish K. Prabhu
Anurag Ranjan
Ali Farhadi
Mohammad Rastegari
24
4
0
08 Oct 2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint
  Search
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
Jiaqi Li
Haoran Li
Yaran Chen
Zixiang Ding
Nannan Li
Mingjun Ma
Zicheng Duan
Dong Zhao
40
9
0
08 Oct 2021
Semi-tensor Product-based TensorDecomposition for Neural Network
  Compression
Semi-tensor Product-based TensorDecomposition for Neural Network Compression
Hengling Zhao
Yipeng Liu
Xiaolin Huang
Ce Zhu
36
6
0
30 Sep 2021
Prune Your Model Before Distill It
Prune Your Model Before Distill It
Jinhyuk Park
Albert No
VLM
40
27
0
30 Sep 2021
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
Xiangcheng Liu
Jian Cao
Hongyi Yao
Wenyu Sun
Yuan Zhang
38
2
0
14 Sep 2021
Layer-wise Model Pruning based on Mutual Information
Layer-wise Model Pruning based on Mutual Information
Chun Fan
Jiwei Li
Xiang Ao
Fei Wu
Yuxian Meng
Xiaofei Sun
44
19
0
28 Aug 2021
BN-NAS: Neural Architecture Search with Batch Normalization
BN-NAS: Neural Architecture Search with Batch Normalization
Boyu Chen
Peixia Li
Baopu Li
Chen Lin
Chuming Li
Ming-hui Sun
Junjie Yan
Wanli Ouyang
26
30
0
16 Aug 2021
A Survey on GAN Acceleration Using Memory Compression Technique
A Survey on GAN Acceleration Using Memory Compression Technique
Dina Tantawy
Mohamed Zahran
A. Wassal
28
8
0
14 Aug 2021
Differentiable Subset Pruning of Transformer Heads
Differentiable Subset Pruning of Transformer Heads
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
37
53
0
10 Aug 2021
Group Fisher Pruning for Practical Network Compression
Group Fisher Pruning for Practical Network Compression
Liyang Liu
Shilong Zhang
Zhanghui Kuang
Aojun Zhou
Jingliang Xue
Xinjiang Wang
Yimin Chen
Wenming Yang
Q. Liao
Wayne Zhang
25
146
0
02 Aug 2021
Structural Watermarking to Deep Neural Networks via Network Channel
  Pruning
Structural Watermarking to Deep Neural Networks via Network Channel Pruning
Xiangyu Zhao
Yinzhe Yao
Hanzhou Wu
Xinpeng Zhang
AAML
13
23
0
19 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
27
0
0
16 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
Fei Chao
Rongrong Ji
VLM
25
23
0
14 Jul 2021
Content-Aware Convolutional Neural Networks
Content-Aware Convolutional Neural Networks
Yong Guo
Yaofo Chen
Mingkui Tan
K. Jia
Jian Chen
Jingdong Wang
36
8
0
30 Jun 2021
Post-Training Quantization for Vision Transformer
Post-Training Quantization for Vision Transformer
Zhenhua Liu
Yunhe Wang
Kai Han
Siwei Ma
Wen Gao
ViT
MQ
41
325
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
Rameswar Panda
Yifan Jiang
Zhangyang Wang
Rogerio Feris
A. Oliva
VLM
ViT
39
153
0
23 Jun 2021
Boggart: Towards General-Purpose Acceleration of Retrospective Video
  Analytics
Boggart: Towards General-Purpose Acceleration of Retrospective Video Analytics
Neil Agarwal
Ravi Netravali
27
14
0
21 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
VLM
SSL
8
10
0
19 Jun 2021
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for
  Mixed-signal DNN Accelerator
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator
Geng Yuan
Payman Behnam
Zhengang Li
Ali Shafiee
Sheng Lin
...
Hang Liu
Xuehai Qian
M. N. Bojnordi
Yanzhi Wang
Caiwen Ding
19
68
0
16 Jun 2021
GANs Can Play Lottery Tickets Too
GANs Can Play Lottery Tickets Too
Xuxi Chen
Zhenyu (Allen) Zhang
Yongduo Sui
Tianlong Chen
GAN
19
58
0
31 May 2021
Troubleshooting Blind Image Quality Models in the Wild
Troubleshooting Blind Image Quality Models in the Wild
Zhihua Wang
Haotao Wang
Tianlong Chen
Zhangyang Wang
Kede Ma
13
19
0
14 May 2021
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to
  Limited Data Domains
MineGAN++: Mining Generative Models for Efficient Knowledge Transfer to Limited Data Domains
Yaxing Wang
Abel Gonzalez-Garcia
Chenshen Wu
Luis Herranz
F. Khan
Shangling Jui
Joost van de Weijer
24
6
0
28 Apr 2021
Carrying out CNN Channel Pruning in a White Box
Carrying out CNN Channel Pruning in a White Box
Yu-xin Zhang
Mingbao Lin
Chia-Wen Lin
Jie Chen
Feiyue Huang
Yongjian Wu
Yonghong Tian
R. Ji
VLM
36
58
0
24 Apr 2021
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang
Haojun Jiang
Ruojin Cai
Yulin Wang
Shiji Song
Gao Huang
Qi Tian
DD
23
64
0
09 Apr 2021
Content-Aware GAN Compression
Content-Aware GAN Compression
Yuchen Liu
Zhixin Shu
Yijun Li
Zhe-nan Lin
Federico Perazzi
S. Kung
GAN
32
58
0
06 Apr 2021
AutoSpace: Neural Architecture Search with Less Human Interference
AutoSpace: Neural Architecture Search with Less Human Interference
Daquan Zhou
Xiaojie Jin
Xiaochen Lian
Linjie Yang
Yujing Xue
Qibin Hou
Jiashi Feng
21
10
0
22 Mar 2021
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Toward Compact Deep Neural Networks via Energy-Aware Pruning
Seul-Ki Yeom
Kyung-Hwan Shim
Jee-Hyun Hwang
CVBM
28
12
0
19 Mar 2021
Recent Advances on Neural Network Pruning at Initialization
Recent Advances on Neural Network Pruning at Initialization
Huan Wang
Can Qin
Yue Bai
Yulun Zhang
Yun Fu
CVBM
31
64
0
11 Mar 2021
Knowledge Evolution in Neural Networks
Knowledge Evolution in Neural Networks
Ahmed Taha
Abhinav Shrivastava
L. Davis
45
21
0
09 Mar 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models
Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin
Jian Ren
Oliver J. Woodford
Jiazhuo Wang
Geng Yuan
Yanzhi Wang
Sergey Tulyakov
33
54
0
05 Mar 2021
AACP: Model Compression by Accurate and Automatic Channel Pruning
AACP: Model Compression by Accurate and Automatic Channel Pruning
Lanbo Lin
Yujiu Yang
Zhenhua Guo
MQ
22
12
0
31 Jan 2021
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