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Learning both Weights and Connections for Efficient Neural Networks

Learning both Weights and Connections for Efficient Neural Networks

8 June 2015
Song Han
Jeff Pool
J. Tran
W. Dally
    CVBM
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Papers citing "Learning both Weights and Connections for Efficient Neural Networks"

41 / 1,191 papers shown
Title
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pruning Convolutional Neural Networks for Resource Efficient Inference
Pavlo Molchanov
Stephen Tyree
Tero Karras
Timo Aila
Jan Kautz
CVBM
VLM
18
416
0
19 Nov 2016
Generalized BackPropagation, Étude De Cas: Orthogonality
Generalized BackPropagation, Étude De Cas: Orthogonality
Mehrtash Harandi
Basura Fernando
29
62
0
17 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike
Ultimate tensorization: compressing convolutional and FC layers alike
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
39
190
0
10 Nov 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Bharat Bhusan Sau
V. Balasubramanian
29
181
0
30 Oct 2016
Compact Deep Convolutional Neural Networks With Coarse Pruning
Compact Deep Convolutional Neural Networks With Coarse Pruning
S. Anwar
Wonyong Sung
3DPC
23
55
0
30 Oct 2016
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale
  Systems
Adaptive Neuron Apoptosis for Accelerating Deep Learning on Large Scale Systems
Charles Siegel
J. Daily
Abhinav Vishnu
AI4CE
29
10
0
03 Oct 2016
Deep Structured Features for Semantic Segmentation
Deep Structured Features for Semantic Segmentation
Michael Tschannen
Lukas Cavigelli
Fabian Mentzer
Thomas Wiatowski
Luca Benini
SSeg
25
14
0
26 Sep 2016
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
54
1,848
0
22 Sep 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
N. Zhang
Dit-Yan Yeung
Peixian Chen
26
14
0
17 Sep 2016
FALCON: Feature Driven Selective Classification for Energy-Efficient
  Image Recognition
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition
Priyadarshini Panda
Aayush Ankit
Parami Wijesinghe
Kaushik Roy
32
22
0
12 Sep 2016
Evolutionary Synthesis of Deep Neural Networks via Synaptic
  Cluster-driven Genetic Encoding
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding
M. Shafiee
A. Wong
34
23
0
06 Sep 2016
Ternary Neural Networks for Resource-Efficient AI Applications
Ternary Neural Networks for Resource-Efficient AI Applications
Hande Alemdar
V. Leroy
Adrien Prost-Boucle
F. Pétrot
24
204
0
01 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
120
3,661
0
31 Aug 2016
Scalable Compression of Deep Neural Networks
Scalable Compression of Deep Neural Networks
Xing Wang
Jie Liang
21
4
0
26 Aug 2016
Benchmarking State-of-the-Art Deep Learning Software Tools
Benchmarking State-of-the-Art Deep Learning Software Tools
Shaoshuai Shi
Qiang-qiang Wang
Pengfei Xu
Xiaowen Chu
BDL
19
328
0
25 Aug 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Boddeti
Marios Savvides
MQ
32
251
0
22 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
49
2,324
0
12 Aug 2016
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Faster CNNs with Direct Sparse Convolutions and Guided Pruning
Jongsoo Park
Sheng Li
W. Wen
P. T. P. Tang
Hai Helen Li
Yiran Chen
Pradeep Dubey
39
182
0
04 Aug 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding
  Methods
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
Xiaojie Jin
Xiao-Tong Yuan
Jiashi Feng
Shuicheng Yan
23
78
0
19 Jul 2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Song Han
Jeff Pool
Sharan Narang
Huizi Mao
Enhao Gong
...
Peter Vajda
Manohar Paluri
J. Tran
Bryan Catanzaro
W. Dally
CVBM
29
83
0
15 Jul 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes
X. Gonzalvo
Vitaly Kuznetsov
M. Mohri
Scott Yang
34
284
0
05 Jul 2016
Group Sparse Regularization for Deep Neural Networks
Group Sparse Regularization for Deep Neural Networks
Simone Scardapane
Danilo Comminiello
Amir Hussain
A. Uncini
37
463
0
02 Jul 2016
Compression of Neural Machine Translation Models via Pruning
Compression of Neural Machine Translation Models via Pruning
A. See
Minh-Thang Luong
Christopher D. Manning
MedIm
VLM
29
221
0
29 Jun 2016
DropNeuron: Simplifying the Structure of Deep Neural Networks
DropNeuron: Simplifying the Structure of Deep Neural Networks
W. Pan
Hao Dong
Yike Guo
24
35
0
23 Jun 2016
Deep neural networks are robust to weight binarization and other
  non-linear distortions
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OOD
MQ
25
96
0
07 Jun 2016
A topological insight into restricted Boltzmann machines
A topological insight into restricted Boltzmann machines
Decebal Constantin Mocanu
Elena Mocanu
Phuong H. Nguyen
M. Gibescu
A. Liotta
BDL
16
98
0
20 Apr 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
S. K. Esser
P. Merolla
John V. Arthur
A. Cassidy
R. Appuswamy
...
Pallab Datta
A. Amir
B. Taba
M. Flickner
D. Modha
3DH
25
715
0
28 Mar 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
84
4,333
0
16 Mar 2016
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
24
501
0
16 Mar 2016
Convolutional Neural Networks using Logarithmic Data Representation
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita
Edward H. Lee
B. Murmann
MQ
30
425
0
03 Mar 2016
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient
  Neural Network Design
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design
Minsoo Rhu
N. Gimelshein
Jason Clemons
A. Zulfiqar
S. Keckler
GNN
14
32
0
25 Feb 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
58
1,350
0
08 Feb 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional
  Networks
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou
Jia-Nan Wu
Yuxin Wu
Xinyu Zhou
27
40
0
31 Dec 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power
  Mobile Applications
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
40
891
0
20 Nov 2015
ACDC: A Structured Efficient Linear Layer
ACDC: A Structured Efficient Linear Layer
Marcin Moczulski
Misha Denil
J. Appleyard
Nando de Freitas
38
98
0
18 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
30
129
0
16 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
92
8,761
0
01 Oct 2015
Compact Convolutional Neural Network Cascade for Face Detection
Compact Convolutional Neural Network Cascade for Face Detection
Ilya Kalinowski
V. Spitsyn
CVBM
24
35
0
06 Aug 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker
  Product
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou
Jia-Nan Wu
38
26
0
21 Jul 2015
Compressing Convolutional Neural Networks
Compressing Convolutional Neural Networks
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
26
139
0
14 Jun 2015
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
35
46
0
09 Jun 2015
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