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More is Less: A More Complicated Network with Less Inference Complexity
v1v2 (latest)

More is Less: A More Complicated Network with Less Inference Complexity

25 March 2017
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
ArXiv (abs)PDFHTML

Papers citing "More is Less: A More Complicated Network with Less Inference Complexity"

33 / 133 papers shown
Learning Instance-wise Sparsity for Accelerating Deep Models
Learning Instance-wise Sparsity for Accelerating Deep ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Chuanjian Liu
Yunhe Wang
Kai Han
Chunjing Xu
Chang Xu
161
29
0
27 Jul 2019
Dual Dynamic Inference: Enabling More Efficient, Adaptive and
  Controllable Deep Inference
Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep InferenceIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2019
Yue Wang
Jianghao Shen
Ting-Kuei Hu
Pengfei Xu
T. Nguyen
Richard Baraniuk
Zinan Lin
Yingyan Lin
204
84
0
10 Jul 2019
Improving Variational Autoencoder with Deep Feature Consistent and
  Generative Adversarial Training
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training
Xianxu Hou
Ke Sun
Linlin Shen
Guoping Qiu
GANDRL
159
56
0
04 Jun 2019
Online Filter Clustering and Pruning for Efficient Convnets
Online Filter Clustering and Pruning for Efficient ConvnetsInternational Conference on Information Photonics (ICIP), 2018
Zhengguang Zhou
Wen-gang Zhou
Richang Hong
Houqiang Li
115
27
0
28 May 2019
Network Pruning via Transformable Architecture Search
Network Pruning via Transformable Architecture SearchNeural Information Processing Systems (NeurIPS), 2019
Xuanyi Dong
Yi Yang
3DPC
326
262
0
23 May 2019
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Filter Pruning by Switching to Neighboring CNNs with Good Attributes
Yang He
Ping Liu
Linchao Zhu
Yi Yang
VLM
205
59
0
08 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
128
26
0
12 Mar 2019
Dynamic Multi-path Neural Network
Dynamic Multi-path Neural NetworkInternational Conference on Pattern Recognition (ICPR), 2019
Yingcheng Su
Shunfeng Zhou
Yichao Wu
Tian Su
Ding Liang
Xuebo Liu
Dixin Zheng
Yingxu Wang
Junjie Yan
Xiaolin Hu
298
5
0
28 Feb 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
79
6
0
24 Jan 2019
Accelerating Convolutional Neural Networks via Activation Map
  Compression
Accelerating Convolutional Neural Networks via Activation Map Compression
Georgios Georgiadis
263
80
0
10 Dec 2018
HSD-CNN: Hierarchically self decomposing CNN architecture using class
  specific filter sensitivity analysis
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis
Kasanagottu Sairam
J. Mukherjee
A. Patra
P. Das
152
5
0
11 Nov 2018
Filter Pruning via Geometric Median for Deep Convolutional Neural
  Networks Acceleration
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
AAML3DPC
411
1,174
0
01 Nov 2018
Dynamic Channel Pruning: Feature Boosting and Suppression
Dynamic Channel Pruning: Feature Boosting and Suppression
Xitong Gao
Yiren Zhao
Łukasz Dudziak
Robert D. Mullins
Chengzhong Xu
251
340
0
12 Oct 2018
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks
Yang He
Xuanyi Dong
Guoliang Kang
Yanwei Fu
C. Yan
Yi Yang
284
144
0
22 Aug 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Yang He
Guoliang Kang
Xuanyi Dong
Yanwei Fu
Yi Yang
AAMLVLM
327
1,029
0
21 Aug 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
252
100
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
OffRLAI4CE
166
1
0
08 Jul 2018
Supervision-by-Registration: An Unsupervised Approach to Improve the
  Precision of Facial Landmark Detectors
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
Xuanyi Dong
Shoou-I Yu
Xinshuo Weng
S. Wei
Yi Yang
Yaser Sheikh
CVBM
232
206
0
03 Jul 2018
Targeted Kernel Networks: Faster Convolutions with Attentive
  Regularization
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
Kashyap Chitta
184
2
0
01 Jun 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
273
200
0
29 May 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient
  Deep Model Inference
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference
Jian-Hao Luo
Jianxin Wu
304
236
0
23 May 2018
Bi-Directional Block Self-Attention for Fast and Memory-Efficient
  Sequence Modeling
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
Tao Shen
Wanrong Zhu
Guodong Long
Jing Jiang
Chengqi Zhang
HAI
189
151
0
03 Apr 2018
Style Aggregated Network for Facial Landmark Detection
Style Aggregated Network for Facial Landmark Detection
Xuanyi Dong
Yan Yan
Wanli Ouyang
Yi Yang
CVBM3DH
290
323
0
12 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information BottleneckInternational Conference on Machine Learning (ICML), 2018
Bin Dai
Chen Zhu
David Wipf
MLT
292
191
0
28 Feb 2018
Recurrent Residual Module for Fast Inference in Videos
Recurrent Residual Module for Fast Inference in Videos
Bowen Pan
Wuwei Lin
Xiaolin Fang
Chaoqin Huang
Bolei Zhou
Cewu Lu
ObjD
185
35
0
27 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 Li
Song Han
456
1,438
0
10 Feb 2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention
  for Sequence Modeling
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
Tao Shen
Wanrong Zhu
Guodong Long
Jing Jiang
Sen Wang
Chengqi Zhang
AI4TS
241
148
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
171
182
0
23 Jan 2018
SBNet: Sparse Blocks Network for Fast Inference
SBNet: Sparse Blocks Network for Fast Inference
Mengye Ren
A. Pokrovsky
Binh Yang
R. Urtasun
215
188
0
07 Jan 2018
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
336
705
0
26 Nov 2017
BlockDrop: Dynamic Inference Paths in Residual Networks
BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu
Tushar Nagarajan
Abhishek Kumar
Steven J. Rennie
L. Davis
Kristen Grauman
Rogerio Feris
299
494
0
22 Nov 2017
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural
  Networks
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks
Xuanyi Dong
Guoliang Kang
Kun Zhan
Yi Yang
124
16
0
22 Sep 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCVBDL
642
494
0
24 May 2017
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