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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"

32 / 432 papers shown
Title
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
Hu-Fu: Hardware and Software Collaborative Attack Framework against
  Neural Networks
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks
Wenshuo Li
Jincheng Yu
Xuefei Ning
Pengjun Wang
Qi Wei
Yu Wang
Huazhong Yang
AAML
31
61
0
14 May 2018
Unifying and Merging Well-trained Deep Neural Networks for Inference
  Stage
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
Yi-Min Chou
Yi-Ming Chan
Jia-Hong Lee
Chih-Yi Chiu
Chu-Song Chen
MoMe
27
34
0
14 May 2018
ContextNet: Exploring Context and Detail for Semantic Segmentation in
  Real-time
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time
Rudra P. K. Poudel
Ujwal D. Bonde
Stephan Liwicki
Christopher Zach
SSeg
32
227
0
11 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Yi Wei
Xinyu Pan
Hongwei Qin
Wanli Ouyang
Junjie Yan
ObjD
19
88
0
06 May 2018
SdcNet: A Computation-Efficient CNN for Object Recognition
SdcNet: A Computation-Efficient CNN for Object Recognition
Yunlong Ma
Chunyan Wang
16
3
0
03 May 2018
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
8
104
0
17 Apr 2018
On the importance of single directions for generalization
On the importance of single directions for generalization
Ari S. Morcos
David Barrett
Neil C. Rabinowitz
M. Botvinick
13
328
0
19 Mar 2018
Efficient Hardware Realization of Convolutional Neural Networks using
  Intra-Kernel Regular Pruning
Efficient Hardware Realization of Convolutional Neural Networks using Intra-Kernel Regular Pruning
Maurice Yang
Mahmoud Faraj
Assem Hussein
V. Gaudet
CVBM
14
12
0
15 Mar 2018
HENet:A Highly Efficient Convolutional Neural Networks Optimized for
  Accuracy, Speed and Storage
HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage
Qiuyu Zhu
Ruixin Zhang
3DH
19
5
0
07 Mar 2018
Deep Neural Network Compression with Single and Multiple Level
  Quantization
Deep Neural Network Compression with Single and Multiple Level Quantization
Yuhui Xu
Yongzhuang Wang
Aojun Zhou
Weiyao Lin
H. Xiong
MQ
20
114
0
06 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
22
178
0
28 Feb 2018
Learning Representations for Neural Network-Based Classification Using
  the Information Bottleneck Principle
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
Rana Ali Amjad
Bernhard C. Geiger
21
195
0
27 Feb 2018
Loss-aware Weight Quantization of Deep Networks
Loss-aware Weight Quantization of Deep Networks
Lu Hou
James T. Kwok
MQ
15
127
0
23 Feb 2018
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic
  Array Based Neural Network Accelerator
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator
Jeff Zhang
Tianyu Gu
K. Basu
S. Garg
6
134
0
11 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
33
1,339
0
10 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While
  Learning Next to Nothing
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld
John K. Tsotsos
MLT
24
51
0
02 Feb 2018
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel
  Pruning of Convolution Layers
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye
Xin Lu
Zhe-nan Lin
J. Z. Wang
11
405
0
01 Feb 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional
  Neural Networks
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks
Deepak Mittal
S. Bhardwaj
Mitesh M. Khapra
Balaraman Ravindran
VLM
22
65
0
31 Jan 2018
Learning to Prune Filters in Convolutional Neural Networks
Learning to Prune Filters in Convolutional Neural Networks
Qiangui Huang
S. Kevin Zhou
Suya You
Ulrich Neumann
VLM
23
176
0
23 Jan 2018
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning
DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning
Mengwei Xu
Feng Qian
Mengze Zhu
Feifan Huang
Saumay Pushp
Xuanzhe Liu
28
23
0
01 Dec 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
F. I. F. Richard Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
25
625
0
26 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
24
70
0
23 Nov 2017
NISP: Pruning Networks using Neuron Importance Score Propagation
NISP: Pruning Networks using Neuron Importance Score Propagation
Ruichi Yu
Ang Li
Chun-Fu Chen
Jui-Hsin Lai
Vlad I. Morariu
Xintong Han
M. Gao
Ching-Yung Lin
L. Davis
30
795
0
16 Nov 2017
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
Arun Mallya
Svetlana Lazebnik
CLL
15
1,269
0
15 Nov 2017
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Learning Intrinsic Sparse Structures within Long Short-Term Memory
W. Wen
Yuxiong He
Samyam Rajbhandari
Minjia Zhang
Wenhan Wang
Fang Liu
Bin Hu
Yiran Chen
H. Li
MQ
24
140
0
15 Sep 2017
BitNet: Bit-Regularized Deep Neural Networks
BitNet: Bit-Regularized Deep Neural Networks
Aswin Raghavan
Mohamed R. Amer
S. Chai
Graham Taylor
MQ
24
10
0
16 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian-jun Sun
32
2,503
0
19 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang
Guo-Jun Qi
Bin Xiao
Jingdong Wang
28
81
0
10 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
36
558
0
05 Jul 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on
  Video Data
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data
Lukas Cavigelli
Philippe Degen
Luca Benini
BDL
17
51
0
14 Apr 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang
Danlu Chen
Tianhong Li
Felix Wu
L. V. D. van der Maaten
Kilian Q. Weinberger
VLM
22
137
0
29 Mar 2017
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