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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
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
30
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 Wang
Zhijian Liu
Chengyue Wu
Ji Lin
Song Han
MQ
71
873
0
21 Nov 2018
Multi-layer Pruning Framework for Compressing Single Shot MultiBox
  Detector
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector
Pravendra Singh
Manikandan Ravikiran
Neeraj Matiyali
Vinay P. Namboodiri
33
21
0
20 Nov 2018
Self-Referenced Deep Learning
Self-Referenced Deep Learning
Xu Lan
Xiatian Zhu
S. Gong
35
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
23
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
32
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
48
14
0
14 Nov 2018
Tetris: Re-architecting Convolutional Neural Network Computation for
  Machine Learning Accelerators
Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators
Hang Lu
Xin Wei
Ning Lin
Guihai Yan
Xiaowei Li
MQ
20
31
0
14 Nov 2018
A Framework of Transfer Learning in Object Detection for Embedded
  Systems
A Framework of Transfer Learning in Object Detection for Embedded Systems
Ioannis Athanasiadis
Panagiotis G. Mousouliotis
L. Petrou
ObjD
19
14
0
12 Nov 2018
Biologically-plausible learning algorithms can scale to large datasets
Biologically-plausible learning algorithms can scale to large datasets
Y. Chitour
Honglin Chen
Zhenyu Liao
T. Poggio
27
74
0
08 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
38
179
0
08 Nov 2018
Neural Network-Hardware Co-design for Scalable RRAM-based BNN
  Accelerators
Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators
Yulhwa Kim
Hyungjun Kim
Jae-Joon Kim
MQ
14
12
0
06 Nov 2018
Rethinking floating point for deep learning
Rethinking floating point for deep learning
Jeff Johnson
MQ
19
138
0
01 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
34
14
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
Xinyu Lin
Yanzhi Wang
AI4CE
37
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
9
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
10
1,454
0
11 Oct 2018
Combinatorial Attacks on Binarized Neural Networks
Combinatorial Attacks on Binarized Neural Networks
Elias Boutros Khalil
Amrita Gupta
B. Dilkina
AAML
49
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 Boddeti
Yashesh D. Dhebar
Kalyanmoy Deb
E. Goodman
W. Banzhaf
39
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
30
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
41
132
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
19
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
67
0
02 Oct 2018
ProxQuant: Quantized Neural Networks via Proximal Operators
ProxQuant: Quantized Neural Networks via Proximal Operators
Yu Bai
Yu Wang
Edo Liberty
MQ
24
117
0
01 Oct 2018
Learning Recurrent Binary/Ternary Weights
Learning Recurrent Binary/Ternary Weights
A. Ardakani
Zhengyun Ji
S. C. Smithson
B. Meyer
W. Gross
MQ
22
27
0
28 Sep 2018
Learning to Train a Binary Neural Network
Learning to Train a Binary Neural Network
Joseph Bethge
Haojin Yang
Christian Bartz
Christoph Meinel
MQ
17
12
0
27 Sep 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
35
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
30
52
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
34
123
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
30
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
Lei Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Yue Liu
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
43
40
0
04 Sep 2018
Learning to Quantize Deep Networks by Optimizing Quantization Intervals
  with Task Loss
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss
S. Jung
Changyong Son
Seohyung Lee
JinWoo Son
Youngjun Kwak
Jae-Joon Han
Sung Ju Hwang
Changkyu Choi
MQ
25
373
0
17 Aug 2018
Network Decoupling: From Regular to Depthwise Separable Convolutions
Network Decoupling: From Regular to Depthwise Separable Convolutions
Jianbo Guo
Yuxi Li
Weiyao Lin
Yurong Chen
Jianguo Li
3DV
OOD
19
84
0
16 Aug 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
49
62
0
15 Aug 2018
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional
  Network Inference on Video Streams
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams
Lukas Cavigelli
Luca Benini
32
26
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
23
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
42
232
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
Quantized Densely Connected U-Nets for Efficient Landmark Localization
Quantized Densely Connected U-Nets for Efficient Landmark Localization
Zhiqiang Tang
Xi Peng
Shijie Geng
Lingfei Wu
Shaoting Zhang
Dimitris N. Metaxas
3DV
19
143
0
07 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
Wen Liu
K. Cheng
MQ
51
550
0
01 Aug 2018
Universal Approximation with Quadratic Deep Networks
Universal Approximation with Quadratic Deep Networks
Fenglei Fan
Jinjun Xiong
Ge Wang
PINN
41
78
0
31 Jul 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
36
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
47
36
0
31 Jul 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep
  Neural Networks
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang
Jiaolong Yang
Dongqiangzi Ye
G. Hua
MQ
23
697
0
26 Jul 2018
Filter Distillation for Network Compression
Filter Distillation for Network Compression
Xavier Suau
Luca Zappella
N. Apostoloff
29
38
0
20 Jul 2018
Optimize Deep Convolutional Neural Network with Ternarized Weights and
  High Accuracy
Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy
Zhezhi He
Boqing Gong
Deliang Fan
24
22
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
68
124
0
18 Jul 2018
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