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Binarized Neural Networks

8 February 2016
Itay Hubara
Daniel Soudry
Ran El-Yaniv
    MQ
ArXivPDFHTML

Papers citing "Binarized Neural Networks"

38 / 288 papers shown
Title
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge
  Intelligence
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence
Jinglan Liu
Jiaxin Zhang
Yukun Ding
Xiaowei Xu
Meng-Long Jiang
Yiyu Shi
19
4
0
26 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
Zheng Qin
Zhaoning Zhang
Xiaotao Chen
Yuxing Peng
MQ
15
104
0
11 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-Jia Li
Song Han
33
1,339
0
10 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
22
65
0
31 Jan 2018
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks
  With Quantized Weights
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights
Penghang Yin
Shuai Zhang
J. Lyu
Stanley Osher
Y. Qi
Jack Xin
MQ
22
78
0
19 Jan 2018
FFT-Based Deep Learning Deployment in Embedded Systems
FFT-Based Deep Learning Deployment in Embedded Systems
Sheng Lin
Ning Liu
M. Nazemi
Hongjia Li
Caiwen Ding
Yanzhi Wang
Massoud Pedram
25
52
0
13 Dec 2017
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal
  Retrieval
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval
Xi Zhang
Siyu Zhou
Jiashi Feng
Hanjiang Lai
Bo Li
Yan Pan
Jian Yin
Shuicheng Yan
GAN
16
55
0
26 Nov 2017
Deep Learning for Real-Time Crime Forecasting and its Ternarization
Deep Learning for Real-Time Crime Forecasting and its Ternarization
Bao Wang
Penghang Yin
Andrea L. Bertozzi
P. Brantingham
Stanley J. Osher
Jack Xin
AI4TS
36
82
0
23 Nov 2017
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
21
70
0
23 Nov 2017
Design Automation for Binarized Neural Networks: A Quantum Leap
  Opportunity?
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?
Manuele Rusci
Lukas Cavigelli
Luca Benini
MQ
16
20
0
21 Nov 2017
Attacking Binarized Neural Networks
Attacking Binarized Neural Networks
A. Galloway
Graham W. Taylor
M. Moussa
MQ
AAML
14
104
0
01 Nov 2017
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
54
1,762
0
10 Oct 2017
Flexible Network Binarization with Layer-wise Priority
He Wang
Yi Tian Xu
Bingbing Ni
Hongteng Xu
MQ
23
10
0
13 Sep 2017
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
Jordi Torres
Shih-Fu Chang
14
217
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-jun Sun
32
2,503
0
19 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
31
558
0
05 Jul 2017
SEP-Nets: Small and Effective Pattern Networks
SEP-Nets: Small and Effective Pattern Networks
Zhe Li
Xiaoyu Wang
Xutao Lv
Tianbao Yang
22
12
0
13 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
Network Sketching: Exploiting Binary Structure in Deep CNNs
Yiwen Guo
Anbang Yao
Hao Zhao
Yurong Chen
MQ
21
95
0
07 Jun 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
15
479
0
24 May 2017
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded
  Vision
Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision
Amr Suleiman
Yu-hsin Chen
J. Emer
Vivienne Sze
24
56
0
17 Mar 2017
Binarized Convolutional Landmark Localizers for Human Pose Estimation
  and Face Alignment with Limited Resources
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Adrian Bulat
Georgios Tzimiropoulos
CVBM
3DV
24
190
0
02 Mar 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
311
1,047
0
10 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
19
502
0
03 Feb 2017
Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point
Mixed Low-precision Deep Learning Inference using Dynamic Fixed Point
Naveen Mellempudi
Abhisek Kundu
Dipankar Das
Dheevatsa Mudigere
Bharat Kaul
MQ
19
30
0
31 Jan 2017
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded
  Devices
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices
Wenjia Meng
Zonghua Gu
Ming Zhang
Zhaohui Wu
18
36
0
02 Jan 2017
Hardware for Machine Learning: Challenges and Opportunities
Hardware for Machine Learning: Challenges and Opportunities
Vivienne Sze
Yu-hsin Chen
Joel S. Einer
Amr Suleiman
Zhengdong Zhang
14
77
0
22 Dec 2016
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu-Wei Li
W. Zuo
David C. Zhang
CVBM
16
149
0
18 Oct 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
20
534
0
06 Sep 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Naresh Boddeti
Marios Savvides
MQ
20
251
0
22 Aug 2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
18
74
0
12 Jul 2016
Sequence-Level Knowledge Distillation
Sequence-Level Knowledge Distillation
Yoon Kim
Alexander M. Rush
16
1,097
0
25 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
23
96
0
07 Jun 2016
Unreasonable Effectiveness of Learning Neural Networks: From Accessible
  States and Robust Ensembles to Basic Algorithmic Schemes
Unreasonable Effectiveness of Learning Neural Networks: From Accessible States and Robust Ensembles to Basic Algorithmic Schemes
Carlo Baldassi
C. Borgs
J. Chayes
Alessandro Ingrosso
C. Lucibello
Luca Saglietti
R. Zecchina
13
163
0
20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
24
127
0
20 May 2016
Ternary Weight Networks
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo-Wen Zhang
Junchi Yan
MQ
21
520
0
16 May 2016
Convolutional Neural Networks using Logarithmic Data Representation
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita
Edward H. Lee
B. Murmann
MQ
19
425
0
03 Mar 2016
Scalable and Sustainable Deep Learning via Randomized Hashing
Scalable and Sustainable Deep Learning via Randomized Hashing
Ryan Spring
Anshumali Shrivastava
11
132
0
26 Feb 2016
Computational Cost Reduction in Learned Transform Classifications
Computational Cost Reduction in Learned Transform Classifications
E. Machado
C. Miosso
R. V. Borries
Murilo Coutinho
P. Berger
Thiago Marques
R. Jacobi
25
3
0
26 Apr 2015
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