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Pruning Filters for Efficient ConvNets

Pruning Filters for Efficient ConvNets

31 August 2016
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
    3DPC
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Papers citing "Pruning Filters for Efficient ConvNets"

50 / 430 papers shown
Title
Bayesian Optimized 1-Bit CNNs
Bayesian Optimized 1-Bit CNNs
Jiaxin Gu
Junhe Zhao
Xiaolong Jiang
Baochang Zhang
Jianzhuang Liu
G. Guo
Rongrong Ji
BDL
MQ
14
56
0
17 Aug 2019
Deep Sparse Band Selection for Hyperspectral Face Recognition
Deep Sparse Band Selection for Hyperspectral Face Recognition
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
CVBM
13
11
0
15 Aug 2019
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via
  Asymmetric Convolution Blocks
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Xiaohan Ding
Yuchen Guo
Guiguang Ding
J. Han
8
659
0
11 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
13
44
0
10 Aug 2019
A Targeted Acceleration and Compression Framework for Low bit Neural
  Networks
A Targeted Acceleration and Compression Framework for Low bit Neural Networks
Biao Qian
Yang Wang
MQ
19
0
0
09 Jul 2019
Weight Normalization based Quantization for Deep Neural Network
  Compression
Weight Normalization based Quantization for Deep Neural Network Compression
Wenhong Cai
Wu-Jun Li
16
14
0
01 Jul 2019
COP: Customized Deep Model Compression via Regularized Correlation-Based
  Filter-Level Pruning
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning
Wenxiao Wang
Cong Fu
Jishun Guo
Deng Cai
Xiaofei He
VLM
10
71
0
25 Jun 2019
Parameterized Structured Pruning for Deep Neural Networks
Parameterized Structured Pruning for Deep Neural Networks
Günther Schindler
Wolfgang Roth
Franz Pernkopf
Holger Froening
16
6
0
12 Jun 2019
Weight Agnostic Neural Networks
Weight Agnostic Neural Networks
Adam Gaier
David R Ha
OOD
22
239
0
11 Jun 2019
Interpretable Neural Network Decoupling
Interpretable Neural Network Decoupling
Yuchao Li
R. Ji
Shaohui Lin
Baochang Zhang
Chenqian Yan
Yongjian Wu
Feiyue Huang
Ling Shao
21
2
0
04 Jun 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural
  Networks Under Hardware Fault Attacks
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks
Sanghyun Hong
Pietro Frigo
Yigitcan Kaya
Cristiano Giuffrida
Tudor Dumitras
AAML
9
210
0
03 Jun 2019
Training CNNs with Selective Allocation of Channels
Training CNNs with Selective Allocation of Channels
Jongheon Jeong
Jinwoo Shin
CVBM
31
15
0
11 May 2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
Pravendra Singh
Vinay K. Verma
Piyush Rai
Vinay P. Namboodiri
VLM
17
71
0
11 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
8
170
0
28 Apr 2019
CornerNet-Lite: Efficient Keypoint Based Object Detection
CornerNet-Lite: Efficient Keypoint Based Object Detection
Hei Law
Yun Teng
Olga Russakovsky
Jia Deng
16
174
0
18 Apr 2019
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order
  Tensor
T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor
Jean Kossaifi
Adrian Bulat
Georgios Tzimiropoulos
M. Pantic
14
67
0
04 Apr 2019
Super accurate low latency object detection on a surveillance UAV
Super accurate low latency object detection on a surveillance UAV
Maarten Vandersteegen
Kristof Van Beeck
Toon Goedemé
26
20
0
03 Apr 2019
Model Slicing for Supporting Complex Analytics with Elastic Inference
  Cost and Resource Constraints
Model Slicing for Supporting Complex Analytics with Elastic Inference Cost and Resource Constraints
Shaofeng Cai
Gang Chen
Beng Chin Ooi
Jinyang Gao
22
19
0
03 Apr 2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
Raphael Tang
Yao Lu
Linqing Liu
Lili Mou
Olga Vechtomova
Jimmy J. Lin
15
417
0
28 Mar 2019
How Can We Be So Dense? The Benefits of Using Highly Sparse
  Representations
How Can We Be So Dense? The Benefits of Using Highly Sparse Representations
Subutai Ahmad
Luiz Scheinkman
11
96
0
27 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
9
80
0
13 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
11
82
0
04 Mar 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
11
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
26
307
0
15 Feb 2019
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
29
130
0
11 Dec 2018
Reliable Identification of Redundant Kernels for Convolutional Neural
  Network Compression
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
Wei Wang
Liqiang Zhu
CVBM
20
13
0
10 Dec 2018
Self-Referenced Deep Learning
Self-Referenced Deep Learning
Xu Lan
Xiatian Zhu
S. Gong
11
23
0
19 Nov 2018
Three Dimensional Convolutional Neural Network Pruning with
  Regularization-Based Method
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method
Yu-xin Zhang
Huan Wang
Yang Luo
Lu Yu
Roland Hu
Hangguan Shan
Tony Q. S. Quek
3DPC
13
11
0
19 Nov 2018
Demystifying Neural Network Filter Pruning
Demystifying Neural Network Filter Pruning
Zhuwei Qin
Fuxun Yu
Adam Lesnikowski
Xiang Chen
14
4
0
29 Oct 2018
Distilling Critical Paths in Convolutional Neural Networks
Distilling Critical Paths in Convolutional Neural Networks
Fuxun Yu
Zhuwei Qin
Xiang Chen
26
21
0
28 Oct 2018
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for
  Continuous Mobile Vision
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision
Biyi Fang
Xiao Zeng
Mi Zhang
3DH
9
263
0
23 Oct 2018
To Compress, or Not to Compress: Characterizing Deep Learning Model
  Compression for Embedded Inference
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
Qing Qin
Jie Ren
Jia-Le Yu
Ling Gao
Hai Wang
Jie Zheng
Yansong Feng
Jianbin Fang
Zheng Wang
11
21
0
21 Oct 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
14
311
0
12 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
8
1,449
0
11 Oct 2018
MBS: Macroblock Scaling for CNN Model Reduction
MBS: Macroblock Scaling for CNN Model Reduction
Yu-Hsun Lin
Chun-Nan Chou
Edward Y. Chang
MQ
11
4
0
18 Sep 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
13
2
0
11 Sep 2018
StackNet: Stacking Parameters for Continual learning
StackNet: Stacking Parameters for Continual learning
Jangho Kim
Jeesoo Kim
Nojun Kwak
CLL
17
6
0
07 Sep 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
Chuhan Min
Aosen Wang
Yiran Chen
Wenyao Xu
Xin Chen
8
41
0
06 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
32
2,417
0
06 Sep 2018
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation
Abhinav Valada
Rohit Mohan
Wolfram Burgard
SSL
19
239
0
11 Aug 2018
Filter Distillation for Network Compression
Filter Distillation for Network Compression
Xavier Suau
Luca Zappella
N. Apostoloff
16
38
0
20 Jul 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for
  Visual and Speech Recognition
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Chun-Fu Chen
Quanfu Fan
Neil Rohit Mallinar
Tom Sercu
Rogerio Feris
17
96
0
10 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic
  Structure
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure
Hamed Hakkak
OffRL
AI4CE
13
1
0
08 Jul 2018
Insights on representational similarity in neural networks with
  canonical correlation
Insights on representational similarity in neural networks with canonical correlation
Ari S. Morcos
M. Raghu
Samy Bengio
DRL
11
429
0
14 Jun 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network
  Compression
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto
K. Maeno
18
32
0
14 Jun 2018
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
SCSP: Spectral Clustering Filter Pruning with Soft Self-adaption Manners
Huiyuan Zhuo
Xuelin Qian
Yanwei Fu
Heng Yang
Xiangyang Xue
14
37
0
14 Jun 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted
  Sparse Projection and Layer Input Masking
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Haichuan Yang
Yuhao Zhu
Ji Liu
CVBM
6
36
0
12 Jun 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural
  Networks
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Kang Liu
Brendan Dolan-Gavitt
S. Garg
AAML
4
1,017
0
30 May 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
13
180
0
29 May 2018
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