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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 / 544 papers shown
Title
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using
  Alternating Direction Method of Multipliers
ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers
Ao Ren
Tianyun Zhang
Shaokai Ye
Jiayu Li
Wenyao Xu
Xuehai Qian
X. Lin
Yanzhi Wang
MQ
29
162
0
31 Dec 2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Yuchao Li
Shaohui Lin
Baochang Zhang
Jianzhuang Liu
David Doermann
Yongjian Wu
Feiyue Huang
R. Ji
40
130
0
11 Dec 2018
Proximal Mean-field for Neural Network Quantization
Proximal Mean-field for Neural Network Quantization
Thalaiyasingam Ajanthan
P. Dokania
Richard I. Hartley
Philip H. S. Torr
MQ
30
20
0
11 Dec 2018
Reliable Identification of Redundant Kernels for Convolutional Neural
  Network Compression
Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
Wei Wang
Liqiang Zhu
CVBM
20
13
0
10 Dec 2018
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and
  in the Future
Making BREAD: Biomimetic strategies for Artificial Intelligence Now and in the Future
J. Krichmar
William M. Severa
Salar M. Khan
J. Olds
AI4CE
19
21
0
04 Dec 2018
Global Second-order Pooling Convolutional Networks
Global Second-order Pooling Convolutional Networks
Zilin Gao
Jiangtao Xie
Qilong Wang
P. Li
26
328
0
29 Nov 2018
ESPNetv2: A Light-weight, Power Efficient, and General Purpose
  Convolutional Neural Network
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
VLM
20
392
0
28 Nov 2018
Joint Neural Architecture Search and Quantization
Joint Neural Architecture Search and Quantization
Yukang Chen
Gaofeng Meng
Qian Zhang
Xinbang Zhang
Liangchen Song
Shiming Xiang
Chunhong Pan
MQ
27
29
0
23 Nov 2018
Structured Binary Neural Networks for Accurate Image Classification and
  Semantic Segmentation
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
27
152
0
22 Nov 2018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Kuan-Chieh Jackson Wang
Zhijian Liu
Yujun Lin
Ji Lin
Song Han
MQ
35
872
0
21 Nov 2018
Self-Referenced Deep Learning
Self-Referenced Deep Learning
Xu Lan
Xiatian Zhu
S. Gong
19
23
0
19 Nov 2018
Three Dimensional Convolutional Neural Network Pruning with
  Regularization-Based Method
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method
Yu-xin Zhang
Huan Wang
Yang Luo
Lu Yu
Roland Hu
Hangguan Shan
Tony Q. S. Quek
3DPC
18
11
0
19 Nov 2018
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator
Jonathan Lew
Deval Shah
Suchita Pati
Shaylin Cattell
Mengchi Zhang
...
Christopher Ng
Negar Goli
Matthew D. Sinclair
Timothy G. Rogers
Tor M. Aamodt
21
65
0
18 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks
QUENN: QUantization Engine for low-power Neural Networks
Miguel de Prado
Maurizio Denna
Luca Benini
Nuria Pazos
MQ
27
14
0
14 Nov 2018
A First Look at Deep Learning Apps on Smartphones
A First Look at Deep Learning Apps on Smartphones
Mengwei Xu
Jiawei Liu
Yuanqiang Liu
F. Lin
Yunxin Liu
Xuanzhe Liu
HAI
25
177
0
08 Nov 2018
Differentiable Fine-grained Quantization for Deep Neural Network
  Compression
Differentiable Fine-grained Quantization for Deep Neural Network Compression
Hsin-Pai Cheng
Yuanjun Huang
Xuyang Guo
Yifei Huang
Feng Yan
Hai Helen Li
Yiran Chen
MQ
21
13
0
20 Oct 2018
Progressive Weight Pruning of Deep Neural Networks using ADMM
Progressive Weight Pruning of Deep Neural Networks using ADMM
Shaokai Ye
Tianyun Zhang
Kaiqi Zhang
Jiayu Li
Kaidi Xu
...
M. Fardad
Sijia Liu
Xiang Chen
X. Lin
Yanzhi Wang
AI4CE
29
38
0
17 Oct 2018
Quantization for Rapid Deployment of Deep Neural Networks
Quantization for Rapid Deployment of Deep Neural Networks
J. Lee
Sangwon Ha
Saerom Choi
Won-Jo Lee
Seungwon Lee
MQ
14
48
0
12 Oct 2018
Training Deep Neural Network in Limited Precision
Training Deep Neural Network in Limited Precision
Hyunsun Park
J. Lee
Youngmin Oh
Sangwon Ha
Seungwon Lee
19
8
0
12 Oct 2018
Rethinking the Value of Network Pruning
Rethinking the Value of Network Pruning
Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
8
1,449
0
11 Oct 2018
Combinatorial Attacks on Binarized Neural Networks
Combinatorial Attacks on Binarized Neural Networks
Elias Boutros Khalil
Amrita Gupta
B. Dilkina
AAML
41
40
0
08 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic
  Algorithm
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
Zhichao Lu
Ian Whalen
Vishnu Naresh Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
26
81
0
08 Oct 2018
Towards Fast and Energy-Efficient Binarized Neural Network Inference on
  FPGA
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA
Cheng Fu
Shilin Zhu
Hao Su
Ching-En Lee
Jishen Zhao
MQ
15
31
0
04 Oct 2018
Relaxed Quantization for Discretized Neural Networks
Relaxed Quantization for Discretized Neural Networks
Christos Louizos
M. Reisser
Tijmen Blankevoort
E. Gavves
Max Welling
MQ
27
131
0
03 Oct 2018
Post-training 4-bit quantization of convolution networks for
  rapid-deployment
Post-training 4-bit quantization of convolution networks for rapid-deployment
Ron Banner
Yury Nahshan
Elad Hoffer
Daniel Soudry
MQ
16
93
0
02 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network
  using Truncated Gaussian Approximation
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation
Zhezhi He
Deliang Fan
MQ
16
66
0
02 Oct 2018
Shift-based Primitives for Efficient Convolutional Neural Networks
Shift-based Primitives for Efficient Convolutional Neural Networks
Huasong Zhong
Xianggen Liu
Yihui He
Yuchun Ma
32
20
0
22 Sep 2018
MBS: Macroblock Scaling for CNN Model Reduction
MBS: Macroblock Scaling for CNN Model Reduction
Yu-Hsun Lin
Chun-Nan Chou
Edward Y. Chang
MQ
16
4
0
18 Sep 2018
Probabilistic Binary Neural Networks
Probabilistic Binary Neural Networks
Jorn W. T. Peters
Max Welling
BDL
UQCV
MQ
17
50
0
10 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
18
122
0
10 Sep 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy
Chuhan Min
Aosen Wang
Yiran Chen
Wenyao Xu
Xin Chen
19
41
0
06 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided
  Fuzzing
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
Xiaofei Xie
L. Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
32
40
0
04 Sep 2018
Blended Coarse Gradient Descent for Full Quantization of Deep Neural
  Networks
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks
Penghang Yin
Shuai Zhang
J. Lyu
Stanley Osher
Y. Qi
Jack Xin
MQ
36
61
0
15 Aug 2018
Hierarchical binary CNNs for landmark localization with limited
  resources
Hierarchical binary CNNs for landmark localization with limited resources
Adrian Bulat
Georgios Tzimiropoulos
CVBM
3DV
18
36
0
14 Aug 2018
A Survey on Methods and Theories of Quantized Neural Networks
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
27
230
0
13 Aug 2018
Training Compact Neural Networks with Binary Weights and Low Precision
  Activations
Training Compact Neural Networks with Binary Weights and Low Precision Activations
Bohan Zhuang
Chunhua Shen
Ian Reid
MQ
13
14
0
08 Aug 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
W. Liu
K. Cheng
MQ
27
550
0
01 Aug 2018
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural
  Network in Embedded FPGA
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA
Junsong Wang
Qiuwen Lou
Xiaofan Zhang
Chao Zhu
Yonghua Lin
Deming Chen
MQ
28
93
0
31 Jul 2018
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human
  Activity Recognition
DFTerNet: Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition
Zhan Yang
Osolo Ian Raymond
Chengyuan Zhang
Ying Wan
J. Long
CVBM
34
36
0
31 Jul 2018
Filter Distillation for Network Compression
Filter Distillation for Network Compression
Xavier Suau
Luca Zappella
N. Apostoloff
16
38
0
20 Jul 2018
DroNet: Efficient convolutional neural network detector for real-time
  UAV applications
DroNet: Efficient convolutional neural network detector for real-time UAV applications
C. Kyrkou
George Plastiras
Stylianos I. Venieris
T. Theocharides
C. Bouganis
6
124
0
18 Jul 2018
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
11
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
16
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
11
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
24
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
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
18
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
19
135
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
16
11
0
13 Jun 2018
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