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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

16 March 2016
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
    MQ
ArXivPDFHTML

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

50 / 811 papers shown
Title
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Bridging the Accuracy Gap for 2-bit Quantized Neural Networks (QNN)
Jungwook Choi
P. Chuang
Zhuo Wang
Swagath Venkataramani
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
19
75
0
17 Jul 2018
Deep Learning for Semantic Segmentation on Minimal Hardware
Deep Learning for Semantic Segmentation on Minimal Hardware
S. V. Dijk
Marcus M. Scheunemann
SSeg
26
20
0
15 Jul 2018
FINN-L: Library Extensions and Design Trade-off Analysis for Variable
  Precision LSTM Networks on FPGAs
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs
Vladimir Rybalkin
Alessandro Pappalardo
M. M. Ghaffar
Giulio Gambardella
Norbert Wehn
Michaela Blott
19
72
0
11 Jul 2018
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary
  Neural Network Inference
XNOR Neural Engine: a Hardware Accelerator IP for 21.6 fJ/op Binary Neural Network Inference
Francesco Conti
Pasquale Davide Schiavone
Luca Benini
37
108
0
09 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic
  Structure
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure
Hamed Hakkak
OffRL
AI4CE
15
1
0
08 Jul 2018
Stochastic Layer-Wise Precision in Deep Neural Networks
Stochastic Layer-Wise Precision in Deep Neural Networks
Griffin Lacey
Graham W. Taylor
S. Areibi
34
18
0
03 Jul 2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks
Julian Faraone
Nicholas J. Fraser
Michaela Blott
Philip H. W. Leong
MQ
33
133
0
01 Jul 2018
Scaling Neural Network Performance through Customized Hardware
  Architectures on Reconfigurable Logic
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic
Michaela Blott
Thomas B. Preußer
Nicholas J. Fraser
Giulio Gambardella
Kenneth O'Brien
Yaman Umuroglu
M. Leeser
17
9
0
26 Jun 2018
In-situ Stochastic Training of MTJ Crossbar based Neural Networks
In-situ Stochastic Training of MTJ Crossbar based Neural Networks
Ankit Mondal
Ankur Srivastava
MQ
22
12
0
24 Jun 2018
Inference of Quantized Neural Networks on Heterogeneous All-Programmable
  Devices
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices
Thomas B. Preußer
Giulio Gambardella
Nicholas J. Fraser
Michaela Blott
MQ
32
41
0
21 Jun 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks
  per Bit?
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Shilin Zhu
Xin Dong
Hao Su
MQ
35
136
0
20 Jun 2018
PCAS: Pruning Channels with Attention Statistics for Deep Network
  Compression
PCAS: Pruning Channels with Attention Statistics for Deep Network Compression
Kohei Yamamoto
K. Maeno
24
32
0
14 Jun 2018
Reservoir Computing Hardware with Cellular Automata
Reservoir Computing Hardware with Cellular Automata
Alejandro Morán
Christiam F. Frasser
J. Rosselló
29
11
0
13 Jun 2018
Energy-Constrained Compression for Deep Neural Networks via Weighted
  Sparse Projection and Layer Input Masking
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
Haichuan Yang
Yuhao Zhu
Ji Liu
CVBM
19
36
0
12 Jun 2018
Perturbative Neural Networks
Perturbative Neural Networks
Felix Juefei Xu
Vishnu Boddeti
Marios Savvides
24
37
0
05 Jun 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
15
180
0
29 May 2018
Retraining-Based Iterative Weight Quantization for Deep Neural Networks
Retraining-Based Iterative Weight Quantization for Deep Neural Networks
Dongsoo Lee
Byeongwook Kim
MQ
36
16
0
29 May 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
25
51
0
28 May 2018
Compact and Computationally Efficient Representation of Deep Neural
  Networks
Compact and Computationally Efficient Representation of Deep Neural Networks
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
42
67
0
27 May 2018
Accelerating CNN inference on FPGAs: A Survey
Accelerating CNN inference on FPGAs: A Survey
K. Abdelouahab
Maxime Pelcat
Jocelyn Serot
F. Berry
AI4CE
30
147
0
26 May 2018
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
16
20
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
23
207
0
23 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
13
942
0
16 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
35
34
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
38
230
0
11 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
22
88
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
27
45
0
29 Apr 2018
Value-aware Quantization for Training and Inference of Neural Networks
Value-aware Quantization for Training and Inference of Neural Networks
Eunhyeok Park
S. Yoo
Peter Vajda
MQ
19
158
0
20 Apr 2018
Pelee: A Real-Time Object Detection System on Mobile Devices
Pelee: A Real-Time Object Detection System on Mobile Devices
R. Wang
Xiang Li
Charles X. Ling
ObjD
30
454
0
18 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
25
105
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
88
389
0
16 Apr 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Ameya Prabhu
Vishal Batchu
Rohit Gajawada
Sri Aurobindo Munagala
A. Namboodiri
MQ
33
18
0
11 Apr 2018
Distribution-Aware Binarization of Neural Networks for Sketch
  Recognition
Distribution-Aware Binarization of Neural Networks for Sketch Recognition
Ameya Prabhu
Vishal Batchu
Sri Aurobindo Munagala
Rohit Gajawada
A. Namboodiri
MQ
29
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
22
17
0
05 Apr 2018
Training DNNs with Hybrid Block Floating Point
Training DNNs with Hybrid Block Floating Point
M. Drumond
Tao R. Lin
Martin Jaggi
Babak Falsafi
25
95
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
23
51
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
31
60
0
28 Mar 2018
Adversarial Network Compression
Adversarial Network Compression
Vasileios Belagiannis
Azade Farshad
Fabio Galasso
GAN
AAML
14
58
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
25
28
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
11
7
0
24 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
22
295
0
23 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
43
779
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
65
75
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
31
80
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 Directions
Stylianos I. Venieris
Alexandros Kouris
C. Bouganis
19
184
0
15 Mar 2018
ShuffleSeg: Real-time Semantic Segmentation Network
ShuffleSeg: Real-time Semantic Segmentation Network
M. Gamal
Mennatullah Siam
Moemen Abdel-Razek
SSeg
33
59
0
10 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
32
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
20
114
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
25
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
32
75
0
04 Mar 2018
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