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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
v1v2v3v4 (latest)

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
    MQ
ArXiv (abs)PDFHTML

Papers citing "XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks"

50 / 1,765 papers shown
Title
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys (CSUR), 2018
Tal Ben-Nun
Torsten Hoefler
GNN
192
748
0
26 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge
  Intelligence
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge IntelligenceIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2018
Jinglan Liu
Jiaxin Zhang
Yukun Ding
Xiaowei Xu
Meng Jiang
Yiyu Shi
147
5
0
26 Feb 2018
Loss-aware Weight Quantization of Deep Networks
Loss-aware Weight Quantization of Deep Networks
Lu Hou
James T. Kwok
MQ
188
134
0
23 Feb 2018
Training wide residual networks for deployment using a single bit for
  each weight
Training wide residual networks for deployment using a single bit for each weight
Mark D Mcdonnell
MQ
132
72
0
23 Feb 2018
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from
  Billion-Scale Semantic Vectors
Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors
Ying Shan
Jian Jiao
Jiehan Zhu
J. C. Mao
99
14
0
18 Feb 2018
Efficient Sparse-Winograd Convolutional Neural Networks
Efficient Sparse-Winograd Convolutional Neural Networks
Xingyu Liu
Jeff Pool
Song Han
W. Dally
78
123
0
18 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
135
45
0
17 Feb 2018
Model compression via distillation and quantization
Model compression via distillation and quantization
A. Polino
Razvan Pascanu
Dan Alistarh
MQ
217
785
0
15 Feb 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer
Paraphrasing Complex Network: Network Compression via Factor Transfer
Jangho Kim
Seonguk Park
Nojun Kwak
194
605
0
14 Feb 2018
Compressive Sensing Using Iterative Hard Thresholding with Low Precision
  Data Representation: Theory and Applications
Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications
Nezihe Merve Gürel
Kaan Kara
A. Stojanov
T. Smith
Thomas Lemmin
Dan Alistarh
Markus Püschel
Ce Zhang
86
2
0
14 Feb 2018
Training and Inference with Integers in Deep Neural Networks
Training and Inference with Integers in Deep Neural Networks
Shuang Wu
Guoqi Li
F. Chen
Luping Shi
MQ
156
403
0
13 Feb 2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Tianqi Chen
T. Moreau
Ziheng Jiang
Lianmin Zheng
Eddie Q. Yan
...
Leyuan Wang
Yuwei Hu
Luis Ceze
Carlos Guestrin
Arvind Krishnamurthy
350
367
0
12 Feb 2018
On the Universal Approximability and Complexity Bounds of Quantized ReLU
  Neural Networks
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
MQ
176
23
0
10 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
325
1,407
0
10 Feb 2018
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
From Hashing to CNNs: Training BinaryWeight Networks via Hashing
Qinghao Hu
Peisong Wang
Jian Cheng
MQ
144
99
0
08 Feb 2018
Effective Quantization Approaches for Recurrent Neural Networks
Effective Quantization Approaches for Recurrent Neural Networks
Md. Zahangir Alom
A. Moody
N. Maruyama
B. Van Essen
T. Taha
MQ
122
37
0
07 Feb 2018
Universal Deep Neural Network Compression
Universal Deep Neural Network Compression
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
194
90
0
07 Feb 2018
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT
  Devices
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices
Ramyad Hadidi
Jiashen Cao
M. Woodward
Michael S. Ryoo
Hyesoon Kim
136
36
0
05 Feb 2018
Recent Advances in Efficient Computation of Deep Convolutional Neural
  Networks
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks
Jian Cheng
Peisong Wang
Gang Li
Qinghao Hu
Hanqing Lu
80
3
0
03 Feb 2018
Mixed Precision Training of Convolutional Neural Networks using Integer
  Operations
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
Dipankar Das
Naveen Mellempudi
Dheevatsa Mudigere
Dhiraj D. Kalamkar
Sasikanth Avancha
...
J. Corbal
N. Shustrov
R. Dubtsov
Evarist Fomenko
V. Pirogov
MQ
157
162
0
03 Feb 2018
Build a Compact Binary Neural Network through Bit-level Sensitivity and
  Data Pruning
Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning
Yixing Li
Fengbo Ren
MQ
96
12
0
03 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While
  Learning Next to Nothing
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing
Amir Rosenfeld
John K. Tsotsos
MLT
120
53
0
02 Feb 2018
Adaptive Memory Networks
Adaptive Memory Networks
Daniel Li
Asim Kadav
81
5
0
01 Feb 2018
Alternating Multi-bit Quantization for Recurrent Neural Networks
Alternating Multi-bit Quantization for Recurrent Neural Networks
Chen Xu
Jianqiang Yao
Zhouchen Lin
Wenwu Ou
Yuanbin Cao
Zhirong Wang
H. Zha
MQ
201
121
0
01 Feb 2018
From BoW to CNN: Two Decades of Texture Representation for Texture
  Classification
From BoW to CNN: Two Decades of Texture Representation for Texture Classification
Tianpeng Liu
Jie Chen
Paul Fieguth
Guoying Zhao
Rama Chellappa
M. Pietikäinen
3DV
180
346
0
31 Jan 2018
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient
  Deep Neural Networks for Speech Denoising
On Psychoacoustically Weighted Cost Functions Towards Resource-Efficient Deep Neural Networks for Speech Denoising
Kai Zhen
Aswin Sivaraman
Jongmo Sung
Minje Kim
66
7
0
29 Jan 2018
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D
  Segmentation using Sparse and Binary Convolutions
TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
M. Heinrich
Maximilian Blendowski
Ozan Oktay
MedIm
92
41
0
29 Jan 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved
  Regularization in Convolutional Networks
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Jason Kuen
Xiangfei Kong
Zhe Lin
G. Wang
Jianxiong Yin
Simon See
Yap-Peng Tan
BDL
106
26
0
29 Jan 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
123
182
0
23 Jan 2018
EffNet: An Efficient Structure for Convolutional Neural Networks
EffNet: An Efficient Structure for Convolutional Neural Networks
Ido Freeman
L. Roese-Koerner
A. Kummert
154
104
0
19 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
193
83
0
19 Jan 2018
In-network Neural Networks
In-network Neural Networks
G. Siracusano
R. Bifulco
MoE
87
54
0
17 Jan 2018
Rank Selection of CP-decomposed Convolutional Layers with Variational
  Bayesian Matrix Factorization
Rank Selection of CP-decomposed Convolutional Layers with Variational Bayesian Matrix Factorization
Marcella Astrid
Seung-Ik Lee
Beom-Su Seo
BDL
40
15
0
16 Jan 2018
Not All Ops Are Created Equal!
Not All Ops Are Created Equal!
Liangzhen Lai
Naveen Suda
Vikas Chandra
97
25
0
12 Jan 2018
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Focus: Querying Large Video Datasets with Low Latency and Low Cost
Kevin Hsieh
Ganesh Ananthanarayanan
P. Bodík
P. Bahl
Matthai Philipose
Phillip B. Gibbons
O. Mutlu
136
286
0
10 Jan 2018
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2017
Tianshui Chen
Liang Lin
W. Zuo
Xiaonan Luo
Lei Zhang
103
57
0
20 Dec 2017
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car
DeepPicar: A Low-cost Deep Neural Network-based Autonomous CarIEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2017
Michael Bechtel
Elise McEllhiney
Minje Kim
H. Yun
236
110
0
19 Dec 2017
clcNet: Improving the Efficiency of Convolutional Neural Network using
  Channel Local Convolutions
clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions
Dong-Qing Zhang
140
10
0
17 Dec 2017
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
519
3,569
0
15 Dec 2017
Learning Binary Residual Representations for Domain-specific Video
  Streaming
Learning Binary Residual Representations for Domain-specific Video Streaming
Yi-Hsuan Tsai
Ming-Yuan Liu
Deqing Sun
Ming-Hsuan Yang
Jan Kautz
91
35
0
14 Dec 2017
An Enhanced Hybrid MobileNet
An Enhanced Hybrid MobileNet
Hong-Yen Chen
Chung-Yen Su
71
79
0
13 Dec 2017
StrassenNets: Deep Learning with a Multiplication Budget
StrassenNets: Deep Learning with a Multiplication Budget
Michael Tschannen
Aran Khanna
Anima Anandkumar
165
30
0
11 Dec 2017
High performance ultra-low-precision convolutions on mobile devices
High performance ultra-low-precision convolutions on mobile devices
Andrew Tulloch
Yangqing Jia
HAIMQ
92
28
0
06 Dec 2017
Automated Pruning for Deep Neural Network Compression
Automated Pruning for Deep Neural Network Compression
Franco Manessi
A. Rozza
Luigi Celona
Paolo Napoletano
Raimondo Schettini
135
59
0
05 Dec 2017
Bit Fusion: Bit-Level Dynamically Composable Architecture for
  Accelerating Deep Neural Networks
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks
Hardik Sharma
Jongse Park
Naveen Suda
Liangzhen Lai
Benson Chau
Joo-Young Kim
Vikas Chandra
H. Esmaeilzadeh
MQ
157
525
0
05 Dec 2017
Structured Deep Neural Network Pruning via Matrix Pivoting
Structured Deep Neural Network Pruning via Matrix Pivoting
Ranko Sredojevic
Shaoyi Cheng
Lazar Supic
R. Naous
Vladimir M. Stojanović
80
8
0
01 Dec 2017
Towards Accurate Binary Convolutional Neural Network
Towards Accurate Binary Convolutional Neural Network
Xiaofan Lin
Cong Zhao
Wei Pan
MQ
154
665
0
30 Nov 2017
Modeling Information Flow Through Deep Neural Networks
Modeling Information Flow Through Deep Neural Networks
Ahmad Chaddad
Behnaz Naisiri
M. Pedersoli
Eric Granger
Christian Desrosiers
Matthew Toews
41
5
0
29 Nov 2017
WSNet: Compact and Efficient Networks Through Weight Sampling
WSNet: Compact and Efficient Networks Through Weight Sampling
Xiaojie Jin
Yingzhen Yang
N. Xu
Jianchao Yang
Nebojsa Jojic
Jiashi Feng
Shuicheng Yan
78
2
0
28 Nov 2017
An Introduction to Deep Visual Explanation
An Introduction to Deep Visual Explanation
H. Babiker
Randy Goebel
FAttAAML
97
19
0
26 Nov 2017
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