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Binary Neural Networks: A Survey

Binary Neural Networks: A Survey

31 March 2020
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
    MQ
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Papers citing "Binary Neural Networks: A Survey"

50 / 157 papers shown
Title
Reusing Deep Neural Network Models through Model Re-engineering
Reusing Deep Neural Network Models through Model Re-engineering
Binhang Qi
Hailong Sun
Xiang Gao
Hongyu Zhang
Zhaotian Li
Xudong Liu
17
17
0
01 Apr 2023
Spherical Space Feature Decomposition for Guided Depth Map
  Super-Resolution
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
Zixiang Zhao
Jiangshe Zhang
X. Gu
Chengli Tan
Shuang Xu
Yulun Zhang
Radu Timofte
Luc Van Gool
11
29
0
15 Mar 2023
PATS: Patch Area Transportation with Subdivision for Local Feature
  Matching
PATS: Patch Area Transportation with Subdivision for Local Feature Matching
Junjie Ni
Yijin Li
Zhaoyang Huang
Hongsheng Li
Hujun Bao
Zhaopeng Cui
Guofeng Zhang
28
34
0
14 Mar 2023
Efficient Computation of Shap Explanation Scores for Neural Network
  Classifiers via Knowledge Compilation
Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation
Leopoldo Bertossi
Jorge E. Leon
FAtt
16
2
0
11 Mar 2023
Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker
  Verification
Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker Verification
Xuechen Liu
Md. Sahidullah
Tomi Kinnunen
32
4
0
02 Mar 2023
Structured Pruning for Deep Convolutional Neural Networks: A survey
Structured Pruning for Deep Convolutional Neural Networks: A survey
Yang He
Lingao Xiao
3DPC
28
116
0
01 Mar 2023
Ultra-low Precision Multiplication-free Training for Deep Neural
  Networks
Ultra-low Precision Multiplication-free Training for Deep Neural Networks
Chang-Shu Liu
Rui Zhang
Xishan Zhang
Yifan Hao
Zidong Du
Xingui Hu
Ling Li
Qi Guo
MQ
32
1
0
28 Feb 2023
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight
  CNN Inference
Fixflow: A Framework to Evaluate Fixed-point Arithmetic in Light-Weight CNN Inference
Farhad Taheri
Siavash Bayat Sarmadi
H. Mosanaei-Boorani
Reza Taheri
MQ
13
1
0
19 Feb 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly
  Communication-Efficient
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
Max Ryabinin
Tim Dettmers
Michael Diskin
Alexander Borzunov
MoE
22
31
0
27 Jan 2023
ACQ: Improving Generative Data-free Quantization Via Attention
  Correction
ACQ: Improving Generative Data-free Quantization Via Attention Correction
Jixing Li
Xiaozhou Guo
Benzhe Dai
Guoliang Gong
Min Jin
Gang Chen
Wenyu Mao
Huaxiang Lu
MQ
30
4
0
18 Jan 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of
  Quantized CNNs
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
A. M. Ribeiro-dos-Santos
João Dinis Ferreira
O. Mutlu
G. Falcão
MQ
8
1
0
15 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and
  Semantics
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics
Yahao Ding
Zhaohui Yang
Viet Quoc Pham
Zhaoyang Zhang
M. Shikh-Bahaei
31
31
0
03 Jan 2023
HashVFL: Defending Against Data Reconstruction Attacks in Vertical
  Federated Learning
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
Pengyu Qiu
Xuhong Zhang
S. Ji
Chong Fu
Xing Yang
Ting Wang
FedML
AAML
11
12
0
01 Dec 2022
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
27
4
0
07 Nov 2022
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Boosting Binary Neural Networks via Dynamic Thresholds Learning
Jiehua Zhang
Xueyang Zhang
Z. Su
Zitong Yu
Yanghe Feng
Xin Lu
M. Pietikäinen
Li Liu
MQ
25
0
0
04 Nov 2022
Low Latency Conversion of Artificial Neural Network Models to
  Rate-encoded Spiking Neural Networks
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks
Zhanglu Yan
Jun Zhou
Weng-Fai Wong
20
2
0
27 Oct 2022
Deep Differentiable Logic Gate Networks
Deep Differentiable Logic Gate Networks
Felix Petersen
Christian Borgelt
Hilde Kuehne
Oliver Deussen
AI4CE
22
23
0
15 Oct 2022
DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image
DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image
Yijin Li
Xinyang Liu
Wenqian Dong
Han Zhou
Hujun Bao
Guofeng Zhang
Yinda Zhang
Zhaopeng Cui
40
26
0
27 Sep 2022
Seeking Interpretability and Explainability in Binary Activated Neural
  Networks
Seeking Interpretability and Explainability in Binary Activated Neural Networks
Benjamin Leblanc
Pascal Germain
FAtt
27
1
0
07 Sep 2022
On Quantizing Implicit Neural Representations
On Quantizing Implicit Neural Representations
Cameron Gordon
Shin-Fang Chng
L. MacDonald
Simon Lucey
MQ
12
18
0
01 Sep 2022
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Survey: Exploiting Data Redundancy for Optimization of Deep Learning
Jou-An Chen
Wei Niu
Bin Ren
Yanzhi Wang
Xipeng Shen
21
24
0
29 Aug 2022
NeIF: Representing General Reflectance as Neural Intrinsics Fields for
  Uncalibrated Photometric Stereo
NeIF: Representing General Reflectance as Neural Intrinsics Fields for Uncalibrated Photometric Stereo
Zong-Han Li
Qian Zheng
Fei-Zhang Wang
Boxin Shi
Gang Pan
Xudong Jiang
25
0
0
18 Aug 2022
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Tim Dettmers
M. Lewis
Younes Belkada
Luke Zettlemoyer
MQ
24
625
0
15 Aug 2022
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
18
11
0
11 Aug 2022
Ultra-low Latency Adaptive Local Binary Spiking Neural Network with
  Accuracy Loss Estimator
Ultra-low Latency Adaptive Local Binary Spiking Neural Network with Accuracy Loss Estimator
Changqin Xu
Yijian Pei
Zili Wu
Yi Liu
Yintang Yang
16
3
0
31 Jul 2022
Lipschitz Continuity Retained Binary Neural Network
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang
Dan Xu
Bin Duan
Ziliang Zong
Liqiang Nie
Yan Yan
11
19
0
13 Jul 2022
Network Binarization via Contrastive Learning
Network Binarization via Contrastive Learning
Yuzhang Shang
Dan Xu
Ziliang Zong
Liqiang Nie
Yan Yan
AAML
MQ
20
21
0
06 Jul 2022
I-ViT: Integer-only Quantization for Efficient Vision Transformer
  Inference
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
Zhikai Li
Qingyi Gu
MQ
46
95
0
04 Jul 2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated
  Transformation
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
Geondo Park
Jaehong Yoon
H. Zhang
Xingge Zhang
S. Hwang
Yonina C. Eldar
MQ
24
1
0
04 Jul 2022
Expressive power of binary and ternary neural networks
Expressive power of binary and ternary neural networks
A. Beknazaryan
MQ
11
0
0
27 Jun 2022
CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple
  Quantization Steps
CTMQ: Cyclic Training of Convolutional Neural Networks with Multiple Quantization Steps
Hyunjin Kim
Jungwoon Shin
Alberto A. Del Barrio
MQ
21
1
0
26 Jun 2022
How to train accurate BNNs for embedded systems?
How to train accurate BNNs for embedded systems?
F. D. Putter
Henk Corporaal
MQ
11
6
0
24 Jun 2022
Binarizing Split Learning for Data Privacy Enhancement and Computation
  Reduction
Binarizing Split Learning for Data Privacy Enhancement and Computation Reduction
Ngoc Duy Pham
A. Abuadbba
Yansong Gao
K. Phan
Naveen Chilamkurti
11
34
0
10 Jun 2022
Searching Similarity Measure for Binarized Neural Networks
Searching Similarity Measure for Binarized Neural Networks
Yanfei Li
Ang Li
Huimin Yu
26
0
0
05 Jun 2022
GAAF: Searching Activation Functions for Binary Neural Networks through
  Genetic Algorithm
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm
Yanfei Li
Tong Geng
S. Stein
Ang Li
Hui-Ling Yu
MQ
19
8
0
05 Jun 2022
Combinatorial optimization for low bit-width neural networks
Combinatorial optimization for low bit-width neural networks
Hanxu Zhou
Aida Ashrafi
Matthew B. Blaschko
MQ
19
0
0
04 Jun 2022
A Transistor Operations Model for Deep Learning Energy Consumption
  Scaling Law
A Transistor Operations Model for Deep Learning Energy Consumption Scaling Law
Chen Li
Antonios Tsourdos
Weisi Guo
AI4CE
18
1
0
30 May 2022
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks
HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks
Kinshuk Dua
FedML
MQ
13
0
0
19 May 2022
K-textures, a self-supervised hard clustering deep learning algorithm
  for satellite image segmentation
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation
F. Wagner
Ricardo Dalagnol
Alber H. Sánchez
Mayumi C. M. Hirye
Samuel Favrichon
Jake H. Lee
S. Mauceri
Yan Yang
Sassan Saatchi
10
12
0
18 May 2022
A Comprehensive Survey on Model Quantization for Deep Neural Networks in
  Image Classification
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification
Babak Rokh
A. Azarpeyvand
Alireza Khanteymoori
MQ
30
82
0
14 May 2022
Attention Mechanism with Energy-Friendly Operations
Attention Mechanism with Energy-Friendly Operations
Yu Wan
Baosong Yang
Dayiheng Liu
Rong Xiao
Derek F. Wong
Haibo Zhang
Boxing Chen
Lidia S. Chao
MU
87
1
0
28 Apr 2022
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born
  Machines
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines
I. Nikoloska
Osvaldo Simeone
AI4CE
11
3
0
31 Mar 2022
Ternary and Binary Quantization for Improved Classification
Ternary and Binary Quantization for Improved Classification
Weizhi Lu
Mingrui Chen
Kai Guo
Weiyu Li
MQ
8
0
0
31 Mar 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed
  Low-Precision DNNs with Dynamic Fixed-Point Representation
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation
Ahmad Shawahna
S. M. Sait
A. El-Maleh
Irfan Ahmad
MQ
10
6
0
22 Mar 2022
One-Bit Compressive Sensing: Can We Go Deep and Blind?
One-Bit Compressive Sensing: Can We Go Deep and Blind?
Yiming Zeng
Shahin Khobahi
M. Soltanalian
4
6
0
13 Mar 2022
Deep Binary Reinforcement Learning for Scalable Verification
Deep Binary Reinforcement Learning for Scalable Verification
Christopher Lazarus
Mykel J. Kochenderfer
OffRL
34
0
0
11 Mar 2022
DeepSketch: A New Machine Learning-Based Reference Search Technique for
  Post-Deduplication Delta Compression
DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression
Jisung Park
Jeoggyun Kim
Yeseong Kim
Sungjin Lee
O. Mutlu
13
23
0
17 Feb 2022
Implementation of a Binary Neural Network on a Passive Array of Magnetic
  Tunnel Junctions
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions
Jonathan M. Goodwill
N. Prasad
Brian D. Hoskins
M. Daniels
A. Madhavan
...
M. Tran
J. Katine
Patrick M. Braganca
M. D. Stiles
Jabez J. McClelland
31
10
0
16 Dec 2021
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural
  Networks
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks
Huu Le
R. Høier
Che-Tsung Lin
Christopher Zach
42
16
0
06 Dec 2021
Equal Bits: Enforcing Equally Distributed Binary Network Weights
Equal Bits: Enforcing Equally Distributed Binary Network Weights
Yun-qiang Li
S. Pintea
J. C. V. Gemert
MQ
38
15
0
02 Dec 2021
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