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Towards Accurate Binary Convolutional Neural Network

Towards Accurate Binary Convolutional Neural Network

30 November 2017
Xiaofan Lin
Cong Zhao
Wei Pan
    MQ
ArXivPDFHTML

Papers citing "Towards Accurate Binary Convolutional Neural Network"

41 / 141 papers shown
Title
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
Pierre Stock
Armand Joulin
Rémi Gribonval
Benjamin Graham
Hervé Jégou
MQ
39
149
0
12 Jul 2019
A Targeted Acceleration and Compression Framework for Low bit Neural
  Networks
A Targeted Acceleration and Compression Framework for Low bit Neural Networks
Biao Qian
Yang Wang
MQ
35
0
0
09 Jul 2019
Weight Normalization based Quantization for Deep Neural Network
  Compression
Weight Normalization based Quantization for Deep Neural Network Compression
Wenhong Cai
Wu-Jun Li
24
14
0
01 Jul 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network
  Optimization
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
K. Helwegen
James Widdicombe
Lukas Geiger
Zechun Liu
K. Cheng
Roeland Nusselder
MQ
27
110
0
05 Jun 2019
Multi-Precision Quantized Neural Networks via Encoding Decomposition of
  -1 and +1
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1
Qigong Sun
Fanhua Shang
Kan Yang
Xiufang Li
Yan Ren
L. Jiao
MQ
46
12
0
31 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLM
ObjD
AI4TS
34
2,290
0
13 May 2019
Progressive Stochastic Binarization of Deep Networks
Progressive Stochastic Binarization of Deep Networks
David Hartmann
Michael Wand
MQ
17
1
0
03 Apr 2019
Training Quantized Neural Networks with a Full-precision Auxiliary
  Module
Training Quantized Neural Networks with a Full-precision Auxiliary Module
Bohan Zhuang
Lingqiao Liu
Mingkui Tan
Chunhua Shen
Ian Reid
MQ
32
62
0
27 Mar 2019
Focused Quantization for Sparse CNNs
Focused Quantization for Sparse CNNs
Yiren Zhao
Xitong Gao
Daniel Bates
Robert D. Mullins
Chengzhong Xu
MQ
23
26
0
07 Mar 2019
Modulated binary cliquenet
Modulated binary cliquenet
Jinpeng Xia
Jiasong Wu
Youyong Kong
Pinzheng Zhang
L. Senhadji
H. Shu
MQ
16
0
0
27 Feb 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference
XONN: XNOR-based Oblivious Deep Neural Network Inference
M. Riazi
Mohammad Samragh
Hao Chen
Kim Laine
Kristin E. Lauter
F. Koushanfar
FedML
GNN
BDL
31
280
0
19 Feb 2019
Low-bit Quantization of Neural Networks for Efficient Inference
Low-bit Quantization of Neural Networks for Efficient Inference
Yoni Choukroun
Eli Kravchik
Fan Yang
P. Kisilev
MQ
33
356
0
18 Feb 2019
AutoQ: Automated Kernel-Wise Neural Network Quantization
AutoQ: Automated Kernel-Wise Neural Network Quantization
Qian Lou
Feng Guo
Lantao Liu
Minje Kim
Lei Jiang
MQ
27
97
0
15 Feb 2019
Self-Binarizing Networks
Self-Binarizing Networks
Fayez Lahoud
R. Achanta
Pablo Márquez-Neila
Sabine Süsstrunk
MQ
19
23
0
02 Feb 2019
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural
  Networks
Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks
Mouloud Belbahri
Eyyub Sari
Sajad Darabi
V. Nia
MQ
21
1
0
18 Jan 2019
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of
  DNNs
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs
Mohammad Samragh
Mojan Javaheripi
F. Koushanfar
38
11
0
17 Jan 2019
DSConv: Efficient Convolution Operator
DSConv: Efficient Convolution Operator
Marcelo Gennari
Roger Fawcett
V. Prisacariu
MQ
32
62
0
07 Jan 2019
Dataflow-based Joint Quantization of Weights and Activations for Deep
  Neural Networks
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks
Xue Geng
Jie Fu
Bin Zhao
Jie Lin
M. Aly
C. Pal
V. Chandrasekhar
MQ
24
5
0
04 Jan 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
23
10
0
18 Dec 2018
Training Competitive Binary Neural Networks from Scratch
Training Competitive Binary Neural Networks from Scratch
Joseph Bethge
Marvin Bornstein
Adrian Loy
Haojin Yang
Christoph Meinel
MQ
13
33
0
05 Dec 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
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
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
66
0
02 Oct 2018
Learning to Train a Binary Neural Network
Learning to Train a Binary Neural Network
Joseph Bethge
Haojin Yang
Christian Bartz
Christoph Meinel
MQ
9
12
0
27 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
25
51
0
10 Sep 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjD
VLM
OOD
77
2,427
0
06 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
A Survey on Methods and Theories of Quantized Neural Networks
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
34
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
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
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
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
21
22
0
20 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
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
30
135
0
20 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
Scalable Methods for 8-bit Training of Neural Networks
Scalable Methods for 8-bit Training of Neural Networks
Ron Banner
Itay Hubara
Elad Hoffer
Daniel Soudry
MQ
54
332
0
25 May 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
3LC: Lightweight and Effective Traffic Compression for Distributed
  Machine Learning
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning
Hyeontaek Lim
D. Andersen
M. Kaminsky
21
70
0
21 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
Li Liu
Jie Chen
Paul Fieguth
Guoying Zhao
Rama Chellappa
M. Pietikäinen
3DV
39
332
0
31 Jan 2018
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