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Learning Structured Sparsity in Deep Neural Networks

Learning Structured Sparsity in Deep Neural Networks

12 August 2016
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
ArXivPDFHTML

Papers citing "Learning Structured Sparsity in Deep Neural Networks"

31 / 331 papers shown
Title
ShuffleSeg: Real-time Semantic Segmentation Network
ShuffleSeg: Real-time Semantic Segmentation Network
M. Gamal
Mennatullah Siam
Moemen Abdel-Razek
SSeg
33
59
0
10 Mar 2018
Variance Networks: When Expectation Does Not Meet Your Expectations
Variance Networks: When Expectation Does Not Meet Your Expectations
Kirill Neklyudov
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
UQCV
18
23
0
10 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
26
178
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
28
33
0
27 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on
  Large In-Memory Datasets
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets
Fabian Schuiki
Michael Schaffner
Frank K. Gürkaynak
Luca Benini
31
70
0
19 Feb 2018
Attention-Based Guided Structured Sparsity of Deep Neural Networks
Attention-Based Guided Structured Sparsity of Deep Neural Networks
A. Torfi
Rouzbeh A. Shirvani
Sobhan Soleymani
Nasser M. Nasrabadi
21
23
0
13 Feb 2018
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error
  Resilience for Energy Efficient Deep Neural Network Accelerators
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators
Jeff Zhang
Kartheek Rangineni
Zahra Ghodsi
S. Garg
28
117
0
11 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU
  Neural Networks
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
MQ
37
21
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
32
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
Jianmin Wang
25
406
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
36
65
0
31 Jan 2018
Sparsely Aggregated Convolutional Networks
Sparsely Aggregated Convolutional Networks
Ligeng Zhu
Ruizhi Deng
Michael Maire
Zhiwei Deng
Greg Mori
P. Tan
3DPC
32
9
0
18 Jan 2018
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
30
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
44
795
0
16 Nov 2017
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate
  Deep Neural Networks
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks
Sanchari Sen
Shubham Jain
Swagath Venkataramani
A. Raghunathan
16
30
0
07 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks
Towards Effective Low-bitwidth Convolutional Neural Networks
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
31
231
0
01 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
35
140
0
15 Sep 2017
The Mating Rituals of Deep Neural Networks: Learning Compact Feature
  Representations through Sexual Evolutionary Synthesis
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis
A. Chung
M. Shafiee
Paul Fieguth
A. Wong
24
4
0
07 Sep 2017
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
54
823
0
22 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
83
2,505
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
33
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
53
558
0
05 Jul 2017
Stochastic Training of Neural Networks via Successive Convex
  Approximations
Stochastic Training of Neural Networks via Successive Convex Approximations
Simone Scardapane
P. Di Lorenzo
22
9
0
15 Jun 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
23
479
0
24 May 2017
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of
  Rectifier Units
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units
S. Shi
Xiaowen Chu
15
43
0
25 Apr 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low
  Displacement Rank
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
Liang Zhao
Siyu Liao
Yanzhi Wang
Zhe Li
Jian Tang
Victor Pan
Bo Yuan
31
61
0
01 Mar 2017
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs
  by Selective Execution
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution
Lanlan Liu
Jia Deng
24
200
0
02 Jan 2017
Generalized Deep Image to Image Regression
Generalized Deep Image to Image Regression
Venkataraman Santhanam
Vlad I. Morariu
L. Davis
3DV
23
70
0
10 Dec 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
13
89
0
20 Nov 2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI
  Implementation of Deep Neural Networks
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks
A. Ardakani
C. Condo
W. Gross
27
40
0
04 Nov 2016
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and
  Tracking
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
Longyin Wen
Dawei Du
Zhaowei Cai
Zhen Lei
Ming-Ching Chang
H. Qi
Jongwoo Lim
Ming-Hsuan Yang
Siwei Lyu
VOT
35
563
0
13 Nov 2015
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