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Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
v1v2v3v4v5 (latest)

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

1 October 2015
Song Han
Huizi Mao
W. Dally
    3DGS
ArXiv (abs)PDFHTML

Papers citing "Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding"

31 / 3,481 papers shown
Title
Structured Convolution Matrices for Energy-efficient Deep learning
Structured Convolution Matrices for Energy-efficient Deep learning
R. Appuswamy
T. Nayak
John V. Arthur
S. K. Esser
P. Merolla
J. McKinstry
T. Melano
M. Flickner
D. Modha
55
11
0
08 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
361
2,086
0
07 Jun 2016
Learning Natural Language Inference using Bidirectional LSTM model and
  Inner-Attention
Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention
Yang Liu
Chengjie Sun
Mehdi Alizadeh
Xiaolong Wang
68
274
0
30 May 2016
An Analysis of Deep Neural Network Models for Practical Applications
An Analysis of Deep Neural Network Models for Practical Applications
A. Canziani
Adam Paszke
Eugenio Culurciello
129
1,171
0
24 May 2016
Path-Normalized Optimization of Recurrent Neural Networks with ReLU
  Activations
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
Behnam Neyshabur
Yuhuai Wu
Ruslan Salakhutdinov
Nathan Srebro
AI4CEODL
83
30
0
23 May 2016
Learning Sensor Multiplexing Design through Back-propagation
Learning Sensor Multiplexing Design through Back-propagation
Ayan Chakrabarti
SSL
92
126
0
23 May 2016
Functional Hashing for Compressing Neural Networks
Functional Hashing for Compressing Neural Networks
Lei Shi
Shikun Feng
Zhifan Zhu
51
4
0
20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
95
127
0
20 May 2016
Reducing the Model Order of Deep Neural Networks Using Information
  Theory
Reducing the Model Order of Deep Neural Networks Using Information Theory
Ming Tu
Visar Berisha
Yu Cao
Jae-sun Seo
49
24
0
16 May 2016
Ternary Weight Networks
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo Zhang
Junchi Yan
MQ
114
527
0
16 May 2016
ASP Vision: Optically Computing the First Layer of Convolutional Neural
  Networks using Angle Sensitive Pixels
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels
H. G. Chen
Suren Jayasuriya
Jiyue Yang
J. Stephen
S. Sivaramakrishnan
Ashok Veeraraghavan
A. Molnar
96
66
0
11 May 2016
Hardware-oriented Approximation of Convolutional Neural Networks
Hardware-oriented Approximation of Convolutional Neural Networks
Philipp Gysel
Mohammad Motamedi
S. Ghiasi
130
310
0
11 Apr 2016
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
68
55
0
06 Apr 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
194
4,378
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
101
431
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
52
32
0
25 Feb 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
255
7,522
0
24 Feb 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
321
1,348
0
08 Feb 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Song Han
Xingyu Liu
Huizi Mao
Jing Pu
A. Pedram
M. Horowitz
W. Dally
211
2,469
0
04 Feb 2016
Relief R-CNN : Utilizing Convolutional Features for Fast Object
  Detection
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
Guiying Li
Junlong Liu
Chunhui Jiang
Liangpeng Zhang
Minlong Lin
Ke Tang
ObjD
68
7
0
25 Jan 2016
Structured Pruning of Deep Convolutional Neural Networks
Structured Pruning of Deep Convolutional Neural Networks
S. Anwar
Kyuyeon Hwang
Wonyong Sung
166
749
0
29 Dec 2015
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
335
5,269
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
162
1,171
0
21 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
141
896
0
20 Nov 2015
Resiliency of Deep Neural Networks under Quantization
Resiliency of Deep Neural Networks under Quantization
Wonyong Sung
Sungho Shin
Kyuyeon Hwang
MQ
75
158
0
20 Nov 2015
Blending LSTMs into CNNs
Blending LSTMs into CNNs
Krzysztof J. Geras
Abdel-rahman Mohamed
R. Caruana
G. Urban
Shengjie Wang
Ozlem Aslan
Matthai Philipose
Matthew Richardson
Charles Sutton
99
60
0
19 Nov 2015
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
146
818
0
19 Nov 2015
Adjustable Bounded Rectifiers: Towards Deep Binary Representations
Adjustable Bounded Rectifiers: Towards Deep Binary Representations
Zhirong Wu
Dahua Lin
Xiaoou Tang
MQ
48
14
0
19 Nov 2015
ACDC: A Structured Efficient Linear Layer
ACDC: A Structured Efficient Linear Layer
Marcin Moczulski
Misha Denil
J. Appleyard
Nando de Freitas
120
98
0
18 Nov 2015
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
92
302
0
31 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
337
6,728
0
08 Jun 2015
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