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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
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Papers citing "Towards Accurate Binary Convolutional Neural Network"

50 / 141 papers shown
Title
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural
  Networks via Guided Distribution Calibration
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
UQCV
SSL
MQ
248
22
0
17 Feb 2021
Enabling Binary Neural Network Training on the Edge
Enabling Binary Neural Network Training on the Edge
Erwei Wang
James J. Davis
Daniele Moro
Piotr Zielinski
Jia Jie Lim
C. Coelho
S. Chatterjee
P. Cheung
George A. Constantinides
MQ
25
24
0
08 Feb 2021
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and
  Positioning Predictor on Edge Devices
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices
Nael Fasfous
M. Vemparala
Alexander Frickenstein
Lukas Frickenstein
W. Stechele
CVBM
31
35
0
06 Feb 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
150
678
0
24 Jan 2021
Rule Extraction from Binary Neural Networks with Convolutional Rules for
  Model Validation
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation
Sophie Burkhardt
Jannis Brugger
Nicolas Wagner
Zahra Ahmadi
Kristian Kersting
Stefan Kramer
NAI
FAtt
25
8
0
15 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization
  Framework
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Runbin Shi
Hayden Kwok-Hay So
Xuehai Qian
Yanzhi Wang
Xue Lin
MQ
26
83
0
08 Dec 2020
Improving Accuracy of Binary Neural Networks using Unbalanced Activation
  Distribution
Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution
Hyungjun Kim
Jihoon Park
Chang-Ho Lee
Jae-Joon Kim
MQ
20
30
0
02 Dec 2020
Bringing AI To Edge: From Deep Learning's Perspective
Bringing AI To Edge: From Deep Learning's Perspective
Di Liu
Hao Kong
Xiangzhong Luo
Weichen Liu
Ravi Subramaniam
52
116
0
25 Nov 2020
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art
  Binarized Neural Networks
Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks
T. Bannink
Arash Bakhtiari
Adam Hillier
Lukas Geiger
T. D. Bruin
Leon Overweel
J. Neeven
K. Helwegen
3DV
MQ
13
36
0
18 Nov 2020
All-optical neuromorphic binary convolution with a spiking VCSEL neuron
  for image gradient magnitudes
All-optical neuromorphic binary convolution with a spiking VCSEL neuron for image gradient magnitudes
Yahui Zhang
J. Robertson
Di Zhang
Matvej Hejda
Julián Bueno
Antonio Hurtado
27
35
0
09 Nov 2020
Permute, Quantize, and Fine-tune: Efficient Compression of Neural
  Networks
Permute, Quantize, and Fine-tune: Efficient Compression of Neural Networks
Julieta Martinez
Jashan Shewakramani
Ting Liu
Ioan Andrei Bârsan
Wenyuan Zeng
R. Urtasun
MQ
28
30
0
29 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision
Training Binary Neural Networks through Learning with Noisy Supervision
Kai Han
Yunhe Wang
Yixing Xu
Chunjing Xu
Enhua Wu
Chang Xu
MQ
15
55
0
10 Oct 2020
High-Capacity Expert Binary Networks
High-Capacity Expert Binary Networks
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
27
57
0
07 Oct 2020
Rotated Binary Neural Network
Rotated Binary Neural Network
Mingbao Lin
Rongrong Ji
Zi-Han Xu
Baochang Zhang
Yan Wang
Yongjian Wu
Feiyue Huang
Chia-Wen Lin
MQ
24
129
0
28 Sep 2020
Kernel Based Progressive Distillation for Adder Neural Networks
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu
Chang Xu
Xinghao Chen
Wei Zhang
Chunjing Xu
Yunhe Wang
43
47
0
28 Sep 2020
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network
  Quantization Framework
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework
Sung-En Chang
Yanyu Li
Mengshu Sun
Weiwen Jiang
Runbin Shi
Xue Lin
Yanzhi Wang
MQ
27
7
0
16 Sep 2020
Alternating Direction Method of Multipliers for Quantization
Alternating Direction Method of Multipliers for Quantization
Tianjian Huang
Prajwal Singhania
Maziar Sanjabi
Pabitra Mitra
Meisam Razaviyayn
MQ
27
10
0
08 Sep 2020
NASB: Neural Architecture Search for Binary Convolutional Neural
  Networks
NASB: Neural Architecture Search for Binary Convolutional Neural Networks
Baozhou Zhu
Zaid Al-Ars
P. Hofstee
MQ
24
23
0
08 Aug 2020
Controlling Information Capacity of Binary Neural Network
Controlling Information Capacity of Binary Neural Network
D. Ignatov
Andrey D. Ignatov
MQ
39
21
0
04 Aug 2020
Differentiable Feature Aggregation Search for Knowledge Distillation
Differentiable Feature Aggregation Search for Knowledge Distillation
Yushuo Guan
Pengyu Zhao
Bingxuan Wang
Yuanxing Zhang
Cong Yao
Kaigui Bian
Jian Tang
FedML
25
44
0
02 Aug 2020
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with
  Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node
Alfio Di Mauro
Francesco Conti
Pasquale Davide Schiavone
D. Rossi
Luca Benini
23
9
0
17 Jul 2020
Distillation Guided Residual Learning for Binary Convolutional Neural
  Networks
Distillation Guided Residual Learning for Binary Convolutional Neural Networks
Jianming Ye
Shiliang Zhang
Jingdong Wang
MQ
30
19
0
10 Jul 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
47
98
0
05 Jun 2020
Binarizing MobileNet via Evolution-based Searching
Binarizing MobileNet via Evolution-based Searching
Hai T. Phan
Zechun Liu
Dang T. Huynh
Marios Savvides
Kwang-Ting Cheng
Zhiqiang Shen
3DV
MQ
32
43
0
13 May 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and
  Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li
Wenjie Yang
Shouheng Peng
Fan Liu
HAI
3DV
64
2,608
0
01 Apr 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
55
459
0
31 Mar 2020
Training Binary Neural Networks with Real-to-Binary Convolutions
Training Binary Neural Networks with Real-to-Binary Convolutions
Brais Martínez
Jing Yang
Adrian Bulat
Georgios Tzimiropoulos
MQ
17
226
0
25 Mar 2020
Synaptic Metaplasticity in Binarized Neural Networks
Synaptic Metaplasticity in Binarized Neural Networks
Axel Laborieux
M. Ernoult
T. Hirtzlin
D. Querlioz
CLL
28
62
0
07 Mar 2020
BATS: Binary ArchitecTure Search
BATS: Binary ArchitecTure Search
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
25
67
0
03 Mar 2020
Training Binary Neural Networks using the Bayesian Learning Rule
Training Binary Neural Networks using the Bayesian Learning Rule
Xiangming Meng
Roman Bachmann
Mohammad Emtiyaz Khan
BDL
MQ
35
40
0
25 Feb 2020
Post-training Quantization with Multiple Points: Mixed Precision without
  Mixed Precision
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
Xingchao Liu
Mao Ye
Dengyong Zhou
Qiang Liu
MQ
16
42
0
20 Feb 2020
Learning Architectures for Binary Networks
Learning Architectures for Binary Networks
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
25
44
0
17 Feb 2020
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by
  Coupling Binary Activations
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
Hyungjun Kim
Kyungsu Kim
Jinseok Kim
Jae-Joon Kim
MQ
27
47
0
16 Feb 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge
Christian Bartz
Haojin Yang
Ying-Cong Chen
Christoph Meinel
MQ
25
91
0
16 Jan 2020
Least squares binary quantization of neural networks
Least squares binary quantization of neural networks
Hadi Pouransari
Zhucheng Tu
Oncel Tuzel
MQ
17
32
0
09 Jan 2020
Resource-Efficient Neural Networks for Embedded Systems
Resource-Efficient Neural Networks for Embedded Systems
Wolfgang Roth
Günther Schindler
Lukas Pfeifenberger
Robert Peharz
Sebastian Tschiatschek
Holger Fröning
Franz Pernkopf
Zoubin Ghahramani
34
47
0
07 Jan 2020
Sparse Weight Activation Training
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
34
73
0
07 Jan 2020
Adaptive Loss-aware Quantization for Multi-bit Networks
Adaptive Loss-aware Quantization for Multi-bit Networks
Zhongnan Qu
Zimu Zhou
Yun Cheng
Lothar Thiele
MQ
36
53
0
18 Dec 2019
Quantization Networks
Quantization Networks
Jiwei Yang
Xu Shen
Jun Xing
Xinmei Tian
Houqiang Li
Bing Deng
Jianqiang Huang
Xiansheng Hua
MQ
36
339
0
21 Nov 2019
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network
  Inference
LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference
Erwei Wang
James J. Davis
P. Cheung
George A. Constantinides
MQ
9
41
0
24 Oct 2019
XNOR-Net++: Improved Binary Neural Networks
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat
Georgios Tzimiropoulos
MQ
39
200
0
30 Sep 2019
Extremely Small BERT Models from Mixed-Vocabulary Training
Extremely Small BERT Models from Mixed-Vocabulary Training
Sanqiang Zhao
Raghav Gupta
Yang Song
Denny Zhou
VLM
14
53
0
25 Sep 2019
Accurate and Compact Convolutional Neural Networks with Trained
  Binarization
Accurate and Compact Convolutional Neural Networks with Trained Binarization
Zhe Xu
R. Cheung
MQ
27
54
0
25 Sep 2019
Structured Binary Neural Networks for Image Recognition
Structured Binary Neural Networks for Image Recognition
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Peng Chen
Lingqiao Liu
Ian Reid
MQ
24
17
0
22 Sep 2019
Searching for Accurate Binary Neural Architectures
Searching for Accurate Binary Neural Architectures
Mingzhu Shen
Kai Han
Chunjing Xu
Yunhe Wang
MQ
19
64
0
16 Sep 2019
Bayesian Optimized 1-Bit CNNs
Bayesian Optimized 1-Bit CNNs
Jiaxin Gu
Junhe Zhao
Xiaolong Jiang
Baochang Zhang
Jianzhuang Liu
G. Guo
Rongrong Ji
BDL
MQ
17
56
0
17 Aug 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit
  Neural Networks
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Ruihao Gong
Xianglong Liu
Shenghu Jiang
Tian-Hao Li
Peng Hu
Jiazhen Lin
F. Yu
Junjie Yan
MQ
32
447
0
14 Aug 2019
Implementing Binarized Neural Networks with Magnetoresistive RAM without
  Error Correction
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction
T. Hirtzlin
Bogdan Penkovsky
Jacques-Olivier Klein
N. Locatelli
A. Vincent
M. Bocquet
J. Portal
D. Querlioz
20
16
0
12 Aug 2019
Effective Training of Convolutional Neural Networks with Low-bitwidth
  Weights and Activations
Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations
Bohan Zhuang
Jing Liu
Mingkui Tan
Lingqiao Liu
Ian Reid
Chunhua Shen
MQ
29
45
0
10 Aug 2019
MoBiNet: A Mobile Binary Network for Image Classification
MoBiNet: A Mobile Binary Network for Image Classification
Hai T. Phan
Dang T. Huynh
Yihui He
Marios Savvides
Zhiqiang Shen
MQ
36
49
0
29 Jul 2019
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