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Data-free parameter pruning for Deep Neural Networks

Data-free parameter pruning for Deep Neural Networks

British Machine Vision Conference (BMVC), 2015
22 July 2015
Suraj Srinivas
R. Venkatesh Babu
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Data-free parameter pruning for Deep Neural Networks"

39 / 239 papers shown
Targeted Kernel Networks: Faster Convolutions with Attentive
  Regularization
Targeted Kernel Networks: Faster Convolutions with Attentive Regularization
Kashyap Chitta
189
2
0
01 Jun 2018
Understanding Neural Networks and Individual Neuron Importance via
  Information-Ordered Cumulative Ablation
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation
Rana Ali Amjad
Kairen Liu
Bernhard C. Geiger
FAtt
341
23
0
18 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
330
549
0
09 Apr 2018
Task dependent Deep LDA pruning of neural networks
Task dependent Deep LDA pruning of neural networks
Qing Tian
Tal Arbel
James J. Clark
227
0
0
21 Mar 2018
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Zhourong Chen
Xiaopeng Li
Ningyu Zhang
217
2
0
16 Mar 2018
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
Building Sparse Deep Feedforward Networks using Tree Receptive FieldsInternational Joint Conference on Artificial Intelligence (IJCAI), 2018
Xiaopeng Li
Zhourong Chen
Ningyu Zhang
138
0
0
14 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
1.0K
3,951
0
09 Mar 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer
Paraphrasing Complex Network: Network Compression via Factor Transfer
Jangho Kim
Seonguk Park
Nojun Kwak
378
616
0
14 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
466
1,445
0
10 Feb 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
181
183
0
23 Jan 2018
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Christian Schroeder de Witt
G. Varma
A. Namboodiri
GNN
262
76
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
281
859
0
16 Nov 2017
Deep Rewiring: Training very sparse deep networks
Deep Rewiring: Training very sparse deep networks
G. Bellec
David Kappel
Wolfgang Maass
Robert Legenstein
BDL
530
298
0
14 Nov 2017
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm
Xiaoliang Dai
Hongxu Yin
N. Jha
DD
217
251
0
06 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
891
1,194
0
23 Oct 2017
N2N Learning: Network to Network Compression via Policy Gradient
  Reinforcement Learning
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
A. Ashok
Nicholas Rhinehart
Fares N. Beainy
Kris Kitani
259
177
0
18 Sep 2017
Performance Guaranteed Network Acceleration via High-Order Residual
  Quantization
Performance Guaranteed Network Acceleration via High-Order Residual Quantization
Zefan Li
Bingbing Ni
Wenjun Zhang
Xiaokang Yang
Wen Gao
MQ
215
111
0
29 Aug 2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional
  Network with Bayesian Optimization
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization
Frederick Tung
S. Muralidharan
Greg Mori
159
37
0
28 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
257
1
0
20 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
708
2,691
0
19 Jul 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
Network Sketching: Exploiting Binary Structure in Deep CNNsComputer Vision and Pattern Recognition (CVPR), 2017
Yiwen Guo
Anbang Yao
Hao Zhao
Yurong Chen
MQ
179
100
0
07 Jun 2017
Computation-Performance Optimization of Convolutional Neural Networks
  with Redundant Kernel Removal
Computation-Performance Optimization of Convolutional Neural Networks with Redundant Kernel Removal
Chih-Ting Liu
Yi-Heng Wu
Yu-Sheng Lin
Shao-Yi Chien
SupR
84
6
0
30 May 2017
Unfolding and Shrinking Neural Machine Translation Ensembles
Unfolding and Shrinking Neural Machine Translation Ensembles
Felix Stahlberg
Bill Byrne
MoE
219
12
0
11 Apr 2017
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
Jonathan Shen
Noranart Vesdapunt
Vishnu Boddeti
Kris Kitani
128
29
0
01 Dec 2016
Training Sparse Neural Networks
Training Sparse Neural Networks
Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
284
217
0
21 Nov 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
197
95
0
20 Nov 2016
Designing Energy-Efficient Convolutional Neural Networks using
  Energy-Aware Pruning
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
Tien-Ju Yang
Yu-hsin Chen
Vivienne Sze
3DV
410
776
0
16 Nov 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Bharat Bhusan Sau
V. Balasubramanian
223
189
0
30 Oct 2016
Sparse Boltzmann Machines with Structure Learning as Applied to Text
  Analysis
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis
Zhourong Chen
Ningyu Zhang
Dit-Yan Yeung
Peixian Chen
284
15
0
17 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
524
3,951
0
31 Aug 2016
Compression of Neural Machine Translation Models via Pruning
Compression of Neural Machine Translation Models via PruningConference on Computational Natural Language Learning (CoNLL), 2016
A. See
Minh-Thang Luong
Christopher D. Manning
MedImVLM
157
224
0
29 Jun 2016
Sequence-Level Knowledge Distillation
Sequence-Level Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP), 2016
Yoon Kim
Alexander M. Rush
489
1,213
0
25 Jun 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
187
219
0
25 Jan 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
743
5,734
0
22 Dec 2015
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
465
1,224
0
21 Dec 2015
Sparsifying Neural Network Connections for Face Recognition
Sparsifying Neural Network Connections for Face Recognition
Yi Sun
Xiaogang Wang
Xiaoou Tang
3DHCVBM
142
145
0
07 Dec 2015
Learning Neural Network Architectures using Backpropagation
Learning Neural Network Architectures using Backpropagation
Suraj Srinivas
R. Venkatesh Babu
AI4CE
186
30
0
17 Nov 2015
Diversity Networks: Neural Network Compression Using Determinantal Point
  Processes
Diversity Networks: Neural Network Compression Using Determinantal Point Processes
Zelda E. Mariet
S. Sra
446
127
0
16 Nov 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural NetworksNeural Information Processing Systems (NeurIPS), 2015
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
579
7,352
0
08 Jun 2015
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