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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
Tensorial Neural Networks: Generalization of Neural Networks and
  Application to Model Compression
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
Jiahao Su
Jingling Li
Bobby Bhattacharjee
Furong Huang
93
23
0
25 May 2018
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient
  Deep Model Inference
AutoPruner: An End-to-End Trainable Filter Pruning Method for Efficient Deep Model Inference
Jian-Hao Luo
Jianxin Wu
195
233
0
23 May 2018
Recurrent knowledge distillation
Recurrent knowledge distillation
S. Pintea
Yue Liu
Jan van Gemert
ODL
53
2
0
18 May 2018
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
236
1,031
0
16 May 2018
Energy Efficient Hadamard Neural Networks
Energy Efficient Hadamard Neural Networks
T. C. Deveci
Serdar Çakır
A. Enis Cetin
125
20
0
14 May 2018
Unifying and Merging Well-trained Deep Neural Networks for Inference
  Stage
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
Yi-Min Chou
Yi-Ming Chan
Jia-Hong Lee
Chih-Yi Chiu
Chu-Song Chen
MoMe
87
35
0
14 May 2018
ContextNet: Exploring Context and Detail for Semantic Segmentation in
  Real-time
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time
Rudra P. K. Poudel
Ujwal D. Bonde
Stephan Liwicki
Christopher Zach
SSeg
192
247
0
11 May 2018
Adaptive Selection of Deep Learning Models on Embedded Systems
Adaptive Selection of Deep Learning Models on Embedded Systems
Ben Taylor
Vicent Sanz Marco
W. Wolff
Yehia El-khatib
Zheng Wang
99
13
0
11 May 2018
Boosting up Scene Text Detectors with Guided CNN
Boosting up Scene Text Detectors with Guided CNN
Xiaoyu Yue
Zhanghui Kuang
Zhaoyang Zhang
Zhenfang Chen
Pan He
Yu Qiao
Wayne Zhang
93
8
0
10 May 2018
Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data
  Quantization-Aware Deep Networks
Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data Quantization-Aware Deep Networks
Fuqiang Liu
Chenchen Liu
36
5
0
08 May 2018
Label Refinery: Improving ImageNet Classification through Label
  Progression
Label Refinery: Improving ImageNet Classification through Label Progression
Hessam Bagherinezhad
Maxwell Horton
Mohammad Rastegari
Ali Farhadi
139
197
0
07 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Yi Wei
Xinyu Pan
Hongwei Qin
Wanli Ouyang
Junjie Yan
ObjD
246
95
0
06 May 2018
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural
  Networks
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks
Chaim Baskin
Eli Schwartz
Evgenii Zheltonozhskii
Natan Liss
Raja Giryes
A. Bronstein
A. Mendelson
MQ
208
43
0
29 Apr 2018
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First
  Parallelism
BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism
Nicolas Weber
F. Schmidt
Mathias Niepert
Felipe Huici
41
9
0
23 Apr 2018
Value-aware Quantization for Training and Inference of Neural Networks
Value-aware Quantization for Training and Inference of Neural NetworksEuropean Conference on Computer Vision (ECCV), 2018
Eunhyeok Park
S. Yoo
Peter Vajda
MQ
114
168
0
20 Apr 2018
Minimizing Area and Energy of Deep Learning Hardware Design Using
  Collective Low Precision and Structured Compression
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured CompressionAsilomar Conference on Signals, Systems and Computers (ACSSC), 2017
Shihui Yin
Gaurav Srivastava
S. Venkataramanaiah
C. Chakrabarti
Visar Berisha
Jae-sun Seo
68
9
0
19 Apr 2018
Pelee: A Real-Time Object Detection System on Mobile Devices
Pelee: A Real-Time Object Detection System on Mobile DevicesNeural Information Processing Systems (NeurIPS), 2018
R. Wang
Xiang Li
Charles X. Ling
ObjD
139
494
0
18 Apr 2018
Deep Face Recognition: A Survey
Deep Face Recognition: A Survey
Mei Wang
Weihong Deng
NoLa
314
1,310
0
18 Apr 2018
Training a Binary Weight Object Detector by Knowledge Transfer for
  Autonomous Driving
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving
Jiaolong Xu
Peng Wang
Hengzhang Yang
Antonio M. López
MQ
86
24
0
17 Apr 2018
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
171
108
0
17 Apr 2018
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
247
436
0
16 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Christian Schroeder de Witt
Vishal Batchu
Rohit Gajawada
Sri Aurobindo Munagala
A. Namboodiri
MQ
127
18
0
11 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
240
544
0
09 Apr 2018
Distribution-Aware Binarization of Neural Networks for Sketch
  Recognition
Distribution-Aware Binarization of Neural Networks for Sketch Recognition
Christian Schroeder de Witt
Vishal Batchu
Sri Aurobindo Munagala
Rohit Gajawada
A. Namboodiri
MQ
177
5
0
09 Apr 2018
Learning Strict Identity Mappings in Deep Residual Networks
Learning Strict Identity Mappings in Deep Residual Networks
Xin Yu
Zhiding Yu
Srikumar Ramalingam
164
17
0
05 Apr 2018
Training DNNs with Hybrid Block Floating Point
Training DNNs with Hybrid Block Floating Point
M. Drumond
Tao Lin
Martin Jaggi
Babak Falsafi
208
105
0
04 Apr 2018
Building Efficient CNN Architecture for Offline Handwritten Chinese
  Character Recognition
Building Efficient CNN Architecture for Offline Handwritten Chinese Character Recognition
Zhiyuan Li
Nanjun Teng
Min Jin
Huaxiang Lu
83
52
0
04 Apr 2018
A Survey on Deep Learning Methods for Robot Vision
A Survey on Deep Learning Methods for Robot Vision
Javier Ruiz-del-Solar
P. Loncomilla
Naiomi Soto
106
63
0
28 Mar 2018
Adversarial Network Compression
Adversarial Network Compression
Vasileios Belagiannis
Azade Farshad
Fabio Galasso
GANAAML
115
61
0
28 Mar 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise
  Convolutions
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Zheng Qin
Zhaoning Zhang
Dongsheng Li
Yiming Zhang
Yuxing Peng
97
29
0
27 Mar 2018
Merging and Evolution: Improving Convolutional Neural Networks for
  Mobile Applications
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Zheng Qin
Zhaoning Zhang
Shiqing Zhang
Hao Yu
Yuxing Peng
59
8
0
24 Mar 2018
Iterative Low-Rank Approximation for CNN Compression
Iterative Low-Rank Approximation for CNN Compression
Maksym Kholiavchenko
88
11
0
23 Mar 2018
SqueezeNext: Hardware-Aware Neural Network Design
SqueezeNext: Hardware-Aware Neural Network Design
A. Gholami
K. Kwon
Bichen Wu
Zizheng Tai
Xiangyu Yue
Peter H. Jin
Sicheng Zhao
Kurt Keutzer
154
311
0
23 Mar 2018
Task dependent Deep LDA pruning of neural networks
Task dependent Deep LDA pruning of neural networks
Qing Tian
Tal Arbel
James J. Clark
149
0
0
21 Mar 2018
Local Binary Pattern Networks
Local Binary Pattern Networks
Jeng-Hau Lin
Yunfan Yang
Rajesh K. Gupta
Zhuowen Tu
MQ
78
15
0
19 Mar 2018
A neural network memory prefetcher using semantic locality
A neural network memory prefetcher using semantic locality
L. Peled
U. Weiser
Yoav Etsion
112
47
0
19 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic
  Segmentation
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Sachin Mehta
Mohammad Rastegari
A. Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
SSeg
231
838
0
19 Mar 2018
EVA$^2$: Exploiting Temporal Redundancy in Live Computer Vision
EVA2^22: Exploiting Temporal Redundancy in Live Computer Vision
Mark Buckler
Philip Bedoukian
Suren Jayasuriya
Adrian Sampson
167
83
0
16 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training
TBD: Benchmarking and Analyzing Deep Neural Network Training
Hongyu Zhu
Mohamed Akrout
Bojian Zheng
Andrew Pelegris
Amar Phanishayee
Bianca Schroeder
Gennady Pekhimenko
117
81
0
16 Mar 2018
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey
  and Future Directions
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future DirectionsACM Computing Surveys (CSUR), 2018
Stylianos I. Venieris
Alexandros Kouris
C. Bouganis
129
189
0
15 Mar 2018
Quantization of Fully Convolutional Networks for Accurate Biomedical
  Image Segmentation
Quantization of Fully Convolutional Networks for Accurate Biomedical Image Segmentation
Xiaowei Xu
Q. Lu
Yu Hu
Lin Yang
X. S. Hu
Benlin Liu
Yiyu Shi
MedIm
138
90
0
13 Mar 2018
ShuffleSeg: Real-time Semantic Segmentation Network
ShuffleSeg: Real-time Semantic Segmentation Network
M. Gamal
Mennatullah Siam
Moemen Abdel-Razek
SSeg
85
63
0
10 Mar 2018
Learning Effective Binary Visual Representations with Deep Networks
Learning Effective Binary Visual Representations with Deep Networks
Jianxin Wu
Jian-Hao Luo
MQ
59
1
0
08 Mar 2018
Personalized Exposure Control Using Adaptive Metering and Reinforcement
  Learning
Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning
Huan Yang
Baoyuan Wang
Noranart Vesdapunt
Minyi Guo
S. B. Kang
143
22
0
06 Mar 2018
Deep Neural Network Compression with Single and Multiple Level
  Quantization
Deep Neural Network Compression with Single and Multiple Level Quantization
Yuhui Xu
Yongzhuang Wang
Aojun Zhou
Weiyao Lin
H. Xiong
MQ
89
120
0
06 Mar 2018
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional
  Neural Networks
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks
A. Bahou
G. Karunaratne
Renzo Andri
Lukas Cavigelli
Luca Benini
MQ
90
45
0
05 Mar 2018
An Optimal Control Approach to Deep Learning and Applications to
  Discrete-Weight Neural Networks
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks
Qianxiao Li
Shuji Hao
170
80
0
04 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
275
955
0
03 Mar 2018
WRPN & Apprentice: Methods for Training and Inference using
  Low-Precision Numerics
WRPN & Apprentice: Methods for Training and Inference using Low-Precision Numerics
Asit K. Mishra
Debbie Marr
69
6
0
01 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information BottleneckInternational Conference on Machine Learning (ICML), 2018
Bin Dai
Chen Zhu
David Wipf
MLT
193
189
0
28 Feb 2018
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