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Binary Neural Networks: A Survey

Binary Neural Networks: A Survey

Pattern Recognition (Pattern Recognit.), 2020
31 March 2020
Haotong Qin
Yazhe Niu
Xianglong Liu
Xiao Bai
Jingkuan Song
Andrii Zadaianchuk
    MQ
ArXiv (abs)PDFHTML

Papers citing "Binary Neural Networks: A Survey"

50 / 175 papers shown
BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
Luca Colombo
Fabrizio Pittorino
Daniele Zambon
Carlo Baldassi
M. Roveri
Cesare Alippi
MQAAML
460
0
0
03 Dec 2025
Convergence for Discrete Parameter Update Schemes
Convergence for Discrete Parameter Update Schemes
Paul W. Wilson
Fabio Zanasi
George Constantinides
156
0
0
03 Dec 2025
IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers
IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers
Gihwan Kim
Jemin Lee
Hyungshin Kim
MQ
184
0
0
19 Nov 2025
BSO: Binary Spiking Online Optimization Algorithm
BSO: Binary Spiking Online Optimization Algorithm
Yu Liang
Yu Yang
Wenjie Wei
A. Belatreche
Shuai Wang
Malu Zhang
Yang Yang
136
1
0
16 Nov 2025
WARP-LUTs -- Walsh-Assisted Relaxation for Probabilistic Look Up Tables
WARP-LUTs -- Walsh-Assisted Relaxation for Probabilistic Look Up Tables
Lino Gerlach
Liv Våge
Thore Gerlach
Elliott Kauffman
Isobel Ojalvo
217
4
0
17 Oct 2025
From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
Sven Brändle
Till Aczél
Andreas Plesner
Roger Wattenhofer
MoEAI4CE
128
0
0
30 Sep 2025
Spatial-Spectral Binarized Neural Network for Panchromatic and Multi-spectral Images Fusion
Spatial-Spectral Binarized Neural Network for Panchromatic and Multi-spectral Images Fusion
Yizhen Jiang
Mengting Ma
Anqi Zhu
Xiaowen Ma
Jiaxin Li
Wei Zhang
MQ
180
0
0
27 Sep 2025
Binary Autoencoder for Mechanistic Interpretability of Large Language Models
Binary Autoencoder for Mechanistic Interpretability of Large Language Models
Hakaze Cho
Haolin Yang
Brian M. Kurkoski
Naoya Inoue
Naoya Inoue
MQ
279
0
0
25 Sep 2025
Weight Mapping Properties of a Dual Tree Single Clock Adiabatic Capacitive Neuron
Weight Mapping Properties of a Dual Tree Single Clock Adiabatic Capacitive Neuron
Mike Smart
S. Maheshwari
Himadri Singh Raghav
Alexander Serb
80
2
0
15 Sep 2025
Evolutionary Feature-wise Thresholding for Binary Representation of NLP Embeddings
Evolutionary Feature-wise Thresholding for Binary Representation of NLP Embeddings
Soumen Sinha
Shahryar Rahnamayan
Azam Asilian Bidgoli
98
0
0
22 Jul 2025
The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis
The Effect of Stochasticity in Score-Based Diffusion Sampling: a KL Divergence Analysis
Bernardo P. Schaeffer
Ricardo M. S. Rosa
Glauco Valle
DiffM
250
1
0
13 Jun 2025
Variational Inference for Quantum HyperNetworks
Variational Inference for Quantum HyperNetworks
Luca Nepote
Alix Lhéritier
Nicolas Bondoux
Marios Kountouris
Maurizio Filippone
MQ
307
1
0
06 Jun 2025
BitTTS: Highly Compact Text-to-Speech Using 1.58-bit Quantization and Weight Indexing
BitTTS: Highly Compact Text-to-Speech Using 1.58-bit Quantization and Weight Indexing
Masaya Kawamura
Takuya Hasumi
Yuma Shirahata
Ryuichi Yamamoto
MQ
211
1
0
04 Jun 2025
LittleBit: Ultra Low-Bit Quantization via Latent Factorization
LittleBit: Ultra Low-Bit Quantization via Latent Factorization
Banseok Lee
Dongkyu Kim
Youngcheon You
Youngmin Kim
MQ
331
10
0
30 May 2025
Logic Gate Neural Networks are Good for Verification
Logic Gate Neural Networks are Good for Verification
Fabian Kresse
Emily Yu
Christoph H. Lampert
T. Henzinger
303
3
0
26 May 2025
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer
Rebecca Pelke
José Cubero-Cascante
Nils Bosbach
Niklas Degener
Florian Idrizi
Lennart M. Reimann
Jan Moritz Joseph
Rainer Leupers
MQ
137
3
0
20 May 2025
Binary and Ternary Quantization Can Enhance Feature Discrimination
Binary and Ternary Quantization Can Enhance Feature Discrimination
Weizhi Lu
Mingrui Chen
Weiyu Li
MQ
833
0
0
18 Apr 2025
Optimising Intrusion Detection Systems in Cloud-Edge Continuum with Knowledge Distillation for Privacy-Preserving and Efficient Communication
Optimising Intrusion Detection Systems in Cloud-Edge Continuum with Knowledge Distillation for Privacy-Preserving and Efficient CommunicationInternational Conference on Fog and Edge Computing (ICFEC), 2025
Soad Almabdy
Amjad Ullah
301
1
0
14 Apr 2025
Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users
Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking Users
Bo-Yi Liu
Zhi-Xuan Liu
Kuan Lun Chen
Zhi-Xuan Liu
Jie Gao
Hao-Tsung Yang
419
1
0
12 Mar 2025
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks
Yanis Basso-Bert
Anca Molnos
Romain Lemaire
William Guicquero
Antoine Dupret
CLL
417
0
0
10 Mar 2025
TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place Recognition
TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place RecognitionIEEE Robotics and Automation Letters (IEEE RA-L), 2025
Oliver Grainge
Michael Milford
Indu Bodala
Sarvapali D. Ramchurn
Shoaib Ehsan
ViT
397
2
0
04 Mar 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Jiaqi Zhao
Miao Zhang
Ming Wang
Yuzhang Shang
Kaihao Zhang
Weili Guan
Yaowei Wang
Min Zhang
MQ
379
5
0
18 Feb 2025
Binary Event-Driven Spiking Transformer
Binary Event-Driven Spiking TransformerInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Honglin Cao
Zijian Zhou
Wenjie Wei
A. Belatreche
Yu Liang
Dehao Zhang
Malu Zhang
Yang Yang
Haizhou Li
MQ
186
3
0
10 Jan 2025
SMM-Conv: Scalar Matrix Multiplication with Zero Packing for Accelerated
  Convolution
SMM-Conv: Scalar Matrix Multiplication with Zero Packing for Accelerated Convolution
Amir Ofir
Gil Ben-Artzi
439
10
0
23 Nov 2024
Inference-to-complete: A High-performance and Programmable Data-plane
  Co-processor for Neural-network-driven Traffic Analysis
Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis
Dong Wen
Zheng Liu
Tong Yang
Tao Li
Tianyun Li
Chenglong Li
Jie Li
Zhigang Sun
206
1
0
01 Nov 2024
Less Memory Means smaller GPUs: Backpropagation with Compressed
  Activations
Less Memory Means smaller GPUs: Backpropagation with Compressed Activations
Daniel Barley
Holger Froning
323
0
0
18 Sep 2024
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of
  Learnable Binary Vectors
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
MQ
396
1
0
16 Jul 2024
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online
  Feature Extraction
EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction
Alexandra Dobrita
Amirreza Yousefzadeh
Simon Thorpe
K. Vadivel
Paul Detterer
...
Gert-Jan van Schaik
Mario Konijnenburg
A. Gebregiorgis
Said Hamdioui
Manolis Sifalakis
281
0
0
25 Jun 2024
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for
  Large Language Models
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models
Dongwon Jo
Taesu Kim
Yulhwa Kim
Jae-Joon Kim
389
13
0
18 Jun 2024
EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge
EdgeSight: Enabling Modeless and Cost-Efficient Inference at the Edge
ChonLam Lao
Jiaqi Gao
Ganesh Ananthanarayanan
Aditya Akella
Minlan Yu
VLM
260
0
0
29 May 2024
Mechanistic Interpretability of Binary and Ternary Transformers
Mechanistic Interpretability of Binary and Ternary Transformers
Jason Li
MQ
194
0
0
27 May 2024
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
Jianting Yang
Srecko Ðurasinovic
Jean B. Lasserre
Victor Magron
Jun Zhao
AAML
375
2
0
27 May 2024
BOLD: Boolean Logic Deep Learning
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen
Cristian Ocampo
Aymen Askri
Louis Leconte
Ba-Hien Tran
AI4CE
437
3
0
25 May 2024
Efficient Multitask Dense Predictor via Binarization
Efficient Multitask Dense Predictor via BinarizationComputer Vision and Pattern Recognition (CVPR), 2024
Yuzhang Shang
Dan Xu
Gaowen Liu
Ramana Rao Kompella
Yan Yan
MQAAML
374
7
0
23 May 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Miao Hu
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Tengjiao Wang
GNN
410
0
0
07 May 2024
Designed Dithering Sign Activation for Binary Neural Networks
Designed Dithering Sign Activation for Binary Neural NetworksIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2024
Brayan Monroy
Juan Estupiñán
T. Gelvez-Barrera
Jorge Bacca
Henry Arguello
MQ
392
2
0
03 May 2024
BiPer: Binary Neural Networks using a Periodic Function
BiPer: Binary Neural Networks using a Periodic Function
Edwin Vargas
Claudia V. Correa
Carlos Hinojosa
Henry Arguello
MQ
383
17
0
01 Apr 2024
Binarized Low-light Raw Video Enhancement
Binarized Low-light Raw Video Enhancement
Gengchen Zhang
Yulun Zhang
Xin Yuan
Ying Fu
MQ
350
18
0
29 Mar 2024
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic
  Architectures for Brain-Computer Interfaces
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces
Yejia Liu
Shijin Duan
Xiaolin Xu
Shaolei Ren
286
1
0
18 Mar 2024
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth
  Limited Optical Signal Acquisition
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
Lingfeng Liu
Dong Ni
Hangjie Yuan
ViT
252
0
0
03 Mar 2024
HEQuant: Marrying Homomorphic Encryption and Quantization for
  Communication-Efficient Private Inference
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference
Tianshi Xu
Meng Li
Runsheng Wang
339
3
0
29 Jan 2024
Robustness to distribution shifts of compressed networks for edge
  devices
Robustness to distribution shifts of compressed networks for edge devices
Lulan Shen
Ali Edalati
Brett H. Meyer
Warren Gross
James J. Clark
245
0
0
22 Jan 2024
Enabling On-device Continual Learning with Binary Neural Networks
Enabling On-device Continual Learning with Binary Neural Networks
Lorenzo Vorabbi
Davide Maltoni
Guido Borghi
Stefano Santi
MQ
348
10
0
18 Jan 2024
Measurement-driven neural-network training for integrated magnetic
  tunnel junction arrays
Measurement-driven neural-network training for integrated magnetic tunnel junction arrays
W. A. Borders
A. Madhavan
M. Daniels
Vasileia Georgiou
Martin Lueker-Boden
Tiffany S. Santos
Patrick M. Braganca
M. D. Stiles
Jabez J. McClelland
Brian D. Hoskins
289
7
0
11 Dec 2023
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
Zhiteng Li
Yulun Zhang
Jing Lin
Haotong Qin
Jinjin Gu
Xin Yuan
Linghe Kong
Yunbo Wang
3DH
507
1
0
24 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive
  Review
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
338
21
0
20 Nov 2023
Training Multi-layer Neural Networks on Ising Machine
Training Multi-layer Neural Networks on Ising Machine
Xujie Song
Tong Liu
Shengbo Eben Li
Jingliang Duan
Wenxuan Wang
Keqiang Li
168
2
0
06 Nov 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary
  Gradients
Projected Stochastic Gradient Descent with Quantum Annealed Binary GradientsBritish Machine Vision Conference (BMVC), 2023
Maximilian Krahn
Michele Sasdelli
Fengyi Yang
Vladislav Golyanik
Arno Solin
Tat-Jun Chin
Tolga Birdal
MQ
450
4
0
23 Oct 2023
Learning Interpretable Rules for Scalable Data Representation and
  Classification
Learning Interpretable Rules for Scalable Data Representation and ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhuo Wang
Wei Zhang
Ning Liu
Jianyong Wang
232
18
0
22 Oct 2023
PB-LLM: Partially Binarized Large Language Models
PB-LLM: Partially Binarized Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Yuzhang Shang
Zhihang Yuan
Qiang Wu
Zhen Dong
MQ
420
87
0
29 Sep 2023
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