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Binarized Neural Networks

8 February 2016
Itay Hubara
Daniel Soudry
Ran El-Yaniv
    MQ
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Papers citing "Binarized Neural Networks"

41 / 341 papers shown
Title
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
Bo An
GAN
29
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
38
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
30
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
23
20
0
21 Nov 2017
xUnit: Learning a Spatial Activation Function for Efficient Image
  Restoration
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
I. Kligvasser
Tamar Rott Shaham
T. Michaeli
21
58
0
17 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
71
1,764
0
10 Oct 2017
Flexible Network Binarization with Layer-wise Priority
He Wang
Yi Tian Xu
Bingbing Ni
Hongteng Xu
MQ
28
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
18
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 Sun
78
2,505
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
53
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
30
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
29
95
0
07 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
Espresso: Efficient Forward Propagation for BCNNs
Espresso: Efficient Forward Propagation for BCNNs
Fabrizio Pedersoli
George Tzanetakis
Andrea Tagliasacchi
MQ
13
13
0
19 May 2017
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural
  Networks
Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks
Hokchhay Tann
S. Hashemi
Iris Bahar
Sherief Reda
MQ
14
74
0
11 May 2017
Towards thinner convolutional neural networks through Gradually Global
  Pruning
Towards thinner convolutional neural networks through Gradually Global Pruning
Z. Wang
Ce Zhu
Zhiqiang Xia
Qi Guo
Yipeng Liu
CVBM
14
4
0
29 Mar 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
26
288
0
25 Mar 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
Deep Convolutional Neural Network Inference with Floating-point Weights
  and Fixed-point Activations
Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations
Liangzhen Lai
Naveen Suda
Vikas Chandra
MQ
33
85
0
08 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
337
1,049
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
36
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
35
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
24
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
22
77
0
22 Dec 2016
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
38
977
0
01 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
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu Li
W. Zuo
David C. Zhang
CVBM
32
149
0
18 Oct 2016
Hierarchical Multiscale Recurrent Neural Networks
Hierarchical Multiscale Recurrent Neural Networks
Junyoung Chung
Sungjin Ahn
Yoshua Bengio
BDL
29
534
0
06 Sep 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Naresh Boddeti
Marios Savvides
MQ
24
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
31
74
0
12 Jul 2016
Sequence-Level Knowledge Distillation
Sequence-Level Knowledge Distillation
Yoon Kim
Alexander M. Rush
27
1,098
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
25
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
15
163
0
20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
29
127
0
20 May 2016
Ternary Weight Networks
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo-Wen Zhang
Junchi Yan
MQ
38
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
21
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
21
132
0
26 Feb 2016
Mining Mid-level Visual Patterns with Deep CNN Activations
Mining Mid-level Visual Patterns with Deep CNN Activations
Yao Li
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
19
54
0
21 Jun 2015
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
30
3
0
26 Apr 2015
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