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Bitwise Neural Networks

Bitwise Neural Networks

22 January 2016
Minje Kim
Paris Smaragdis
    MQ
ArXivPDFHTML

Papers citing "Bitwise Neural Networks"

35 / 35 papers shown
Title
10K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detection
Biqiao Xin
Qianchen Mao
Bingshu Wang
Jiangbin Zheng
Yong Zhao
C. L. P. Chen
MQ
66
0
0
04 Mar 2025
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep
  Learning Inference Pipeline
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline
Jayeeta Mondal
Swarnava Dey
Arijit Mukherjee
MQ
31
1
0
10 Nov 2023
BiBench: Benchmarking and Analyzing Network Binarization
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
Feng Yu
Xianglong Liu
MQ
AAML
46
36
0
26 Jan 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train
  Quantized Neural Networks
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte
S. Schechtman
Eric Moulines
29
4
0
07 Nov 2022
PokeBNN: A Binary Pursuit of Lightweight Accuracy
PokeBNN: A Binary Pursuit of Lightweight Accuracy
Yichi Zhang
Zhiru Zhang
Lukasz Lew
MQ
45
57
0
30 Nov 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Yongcheng Jing
Yiding Yang
Xinchao Wang
Xiuming Zhang
Dacheng Tao
28
38
0
27 Sep 2021
Smoothed Differential Privacy
Smoothed Differential Privacy
Ao Liu
Yu-Xiang Wang
Lirong Xia
33
0
0
04 Jul 2021
"BNN - BN = ?": Training Binary Neural Networks without Batch
  Normalization
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
Tianlong Chen
Zhenyu Zhang
Xu Ouyang
Zechun Liu
Zhiqiang Shen
Zhangyang Wang
MQ
46
36
0
16 Apr 2021
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
52
459
0
31 Mar 2020
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
28
141
0
02 Nov 2019
Density Encoding Enables Resource-Efficient Randomly Connected Neural
  Networks
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks
Denis Kleyko
Mansour Kheffache
E. P. Frady
U. Wiklund
Evgeny Osipov
27
45
0
19 Sep 2019
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
QUOTIENT: Two-Party Secure Neural Network Training and Prediction
Nitin Agrawal
Ali Shahin Shamsabadi
Matt J. Kusner
Adria Gascon
30
212
0
08 Jul 2019
Cascaded Cross-Module Residual Learning towards Lightweight End-to-End
  Speech Coding
Cascaded Cross-Module Residual Learning towards Lightweight End-to-End Speech Coding
Kai Zhen
Jongmo Sung
Mi Suk Lee
Seungkwon Beack
Minje Kim
35
39
0
18 Jun 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
FPGA-based Accelerators of Deep Learning Networks for Learning and
  Classification: A Review
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Ahmad Shawahna
S. M. Sait
A. El-Maleh
28
372
0
01 Jan 2019
A Survey on Methods and Theories of Quantized Neural Networks
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
31
232
0
13 Aug 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
19
75
0
17 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
29
18
0
03 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
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating
  Training and Testing
EasyConvPooling: Random Pooling with Easy Convolution for Accelerating Training and Testing
Jianzhong Sheng
Chuanbo Chen
Chenchen Fu
Chun Jason Xue
21
4
0
05 Jun 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
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
941
0
16 May 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
29
875
0
03 Mar 2018
In-network Neural Networks
In-network Neural Networks
G. Siracusano
R. Bifulco
MoE
32
50
0
17 Jan 2018
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car
DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car
Michael Bechtel
Elise McEllhiney
Minje Kim
H. Yun
30
103
0
19 Dec 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an
  FPGA-Based Dataflow Platform
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform
Chaim Baskin
Natan Liss
Evgenii Zheltonozhskii
A. Bronstein
A. Mendelson
GNN
MQ
42
35
0
31 Jul 2017
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
53
983
0
01 Dec 2016
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
Training Bit Fully Convolutional Network for Fast Semantic Segmentation
He Wen
Shuchang Zhou
Zhe Liang
Yuxiang Zhang
Dieqiao Feng
Xinyu Zhou
Cong Yao
MQ
SSeg
37
10
0
01 Dec 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
13
89
0
20 Nov 2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI
  Implementation of Deep Neural Networks
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks
A. Ardakani
C. Condo
W. Gross
33
40
0
04 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
54
1,846
0
22 Sep 2016
Ternary Neural Networks for Resource-Efficient AI Applications
Ternary Neural Networks for Resource-Efficient AI Applications
Hande Alemdar
V. Leroy
Adrien Prost-Boucle
F. Pétrot
24
204
0
01 Sep 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
57
4,332
0
16 Mar 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
58
1,350
0
08 Feb 2016
Neural Networks with Few Multiplications
Neural Networks with Few Multiplications
Zhouhan Lin
Matthieu Courbariaux
Roland Memisevic
Yoshua Bengio
28
331
0
11 Oct 2015
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