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Barlow Twins: Self-Supervised Learning via Redundancy Reduction
v1v2v3 (latest)

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

International Conference on Machine Learning (ICML), 2021
4 March 2021
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
    SSL
ArXiv (abs)PDFHTML

Papers citing "Barlow Twins: Self-Supervised Learning via Redundancy Reduction"

50 / 1,501 papers shown
SARL: Spatially-Aware Self-Supervised Representation Learning for Visuo-Tactile Perception
SARL: Spatially-Aware Self-Supervised Representation Learning for Visuo-Tactile Perception
Gurmeher Khurana
Lan Wei
Dandan Zhang
217
0
0
01 Dec 2025
Pre-train to Gain: Robust Learning Without Clean Labels
Pre-train to Gain: Robust Learning Without Clean Labels
David Szczecina
Nicholas Pellegrino
Paul Fieguth
NoLa
346
0
0
25 Nov 2025
A joint optimization approach to identifying sparse dynamics using least squares kernel collocation
A joint optimization approach to identifying sparse dynamics using least squares kernel collocation
Alexander Hsu
Ike Griss Salas
Jacob Stevens-Haas
J. Nathan Kutz
Aleksandr Aravkin
Bamdad Hosseini
120
0
0
23 Nov 2025
TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting
TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting
Lingyu Jiang
Lingyu Xu
Peiran Li
Qianwen Ge
Dingyi Zhuang
...
Ziming Zhang
Zhengzhong Tu
Michael R. Zielewski
Kazunori D Yamada
Fangzhou Lin
AI4TS
223
0
0
23 Nov 2025
Self-Supervised Learning by Curvature Alignment
Self-Supervised Learning by Curvature Alignment
Benyamin Ghojogh
M. H. Sepanj
Paul Fieguth
123
0
0
21 Nov 2025
APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift
APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift
Y. Li
Zezhi Shao
Chengqing Yu
Yisong Fu
Tao Sun
Yongjun Xu
Fei Wang
AI4TS
146
0
0
17 Nov 2025
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
Mingqi Wu
Qiang Sun
Yi Yang
141
1
0
15 Nov 2025
DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
Zhongle Ren
Hui Ding
Kai Wang
B. Hou
Xingyu Luo
Weibin Li
Licheng Jiao
233
0
0
11 Nov 2025
FlowFeat: Pixel-Dense Embedding of Motion Profiles
FlowFeat: Pixel-Dense Embedding of Motion Profiles
Nikita Araslanov
Anna Sonnweber
Daniel Cremers
MDE
412
1
0
10 Nov 2025
Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
Adaptive Multi-view Graph Contrastive Learning via Fractional-order Neural Diffusion Networks
Yanan Zhao
Feng Ji
Jingyang Dai
Jiaze Ma
Keyue Jiang
K. Zhao
Wee Peng Tay
146
0
0
09 Nov 2025
SiamMM: A Mixture Model Perspective on Deep Unsupervised Learning
SiamMM: A Mixture Model Perspective on Deep Unsupervised Learning
Xiaodong Wang
Jing Huang
Kevin J. Liang
SSL
531
0
0
07 Nov 2025
An Augmentation Overlap Theory of Contrastive Learning
An Augmentation Overlap Theory of Contrastive Learning
Qi Zhang
Yifei Wang
Yisen Wang
SSL
256
4
0
05 Nov 2025
Beyond Spectral Clustering: Probabilistic Cuts for Differentiable Graph Partitioning
Beyond Spectral Clustering: Probabilistic Cuts for Differentiable Graph Partitioning
Ayoub Ghriss
162
0
0
04 Nov 2025
Barlow Twins for Sequential Recommendation
Barlow Twins for Sequential Recommendation
Ivan Razvorotnev
Marina Munkhoeva
Evgeny Frolov
122
1
0
30 Oct 2025
Controlling Contrastive Self-Supervised Learning with Knowledge-Driven Multiple Hypothesis: Application to Beat Tracking
Controlling Contrastive Self-Supervised Learning with Knowledge-Driven Multiple Hypothesis: Application to Beat Tracking
Antonin Gagnere
S. Essid
Geoffroy Peeters
SSL
417
0
0
29 Oct 2025
Eigenfunction Extraction for Ordered Representation Learning
Eigenfunction Extraction for Ordered Representation Learning
Burak Varıcı
Che-Ping Tsai
Ritabrata Ray
Nicholas M. Boffi
Pradeep Ravikumar
176
0
0
28 Oct 2025
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
Julie Mordacq
David Loiseaux
Vicky Kalogeiton
S. Oudot
249
0
0
27 Oct 2025
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
B. U. Demirel
Christian Holz
AI4TSSSL
358
0
0
26 Oct 2025
Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation Learning
Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation LearningIEEE Signal Processing Letters (IEEE SPL), 2025
Ali Javidani
Babak N. Araabi
Mohammad Amin Sadeghi
SSL
275
0
0
25 Oct 2025
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
Samuel Bright-Thonney
Christina Reissel
Gaia Grosso
Nathaniel Woodward
Katya Govorkova
Andrzej Novak
Sang Eon Park
Eric A. Moreno
Philip Harris
204
2
0
24 Oct 2025
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Equivariance by Contrast: Identifiable Equivariant Embeddings from Unlabeled Finite Group Actions
Tobias Schmidt
Steffen Schneider
Matthias Bethge
172
0
0
24 Oct 2025
Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment
Interpretable Multimodal Zero-Shot ECG Diagnosis via Structured Clinical Knowledge Alignment
Jialu Tang
Hung Manh Pham
Ignace De Lathauwer
Henk S. Schipper
Yuan Lu
Dong Ma
Aaqib Saeed
131
0
0
24 Oct 2025
Neural Diversity Regularizes Hallucinations in Language Models
Neural Diversity Regularizes Hallucinations in Language Models
Kushal Chakrabarti
Nirmal Balachundhar
175
0
0
23 Oct 2025
CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution
CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution
Christian Schiffer
Zeynep Boztoprak
Jan-Oliver Kropp
Julia Thönnißen
Katia Berr
H. Spitzer
Katrin Amunts
Timo Dickscheid
118
1
0
21 Oct 2025
Data Reliability Scoring
Data Reliability Scoring
Yiling Chen
Shi Feng
Paul Kattuman
Fang-Yi Yu
123
0
0
20 Oct 2025
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Siran Dai
Qianqian Xu
Peisong Wen
Yang Liu
Qingming Huang
201
2
0
20 Oct 2025
A Multimodal Approach to Heritage Preservation in the Context of Climate Change
A Multimodal Approach to Heritage Preservation in the Context of Climate Change
David Roqui
Adèle Cormier
nistor Grozavu
Ann Bourges
109
0
0
15 Oct 2025
On the Optimal Representation Efficiency of Barlow Twins: An Information-Geometric Interpretation
On the Optimal Representation Efficiency of Barlow Twins: An Information-Geometric Interpretation
Di Zhang
105
0
0
13 Oct 2025
Understanding Self-supervised Contrastive Learning through Supervised Objectives
Understanding Self-supervised Contrastive Learning through Supervised Objectives
Byeongchan Lee
SSL
242
0
0
12 Oct 2025
Characterizing the Multiclass Learnability of Forgiving 0-1 Loss Functions
Characterizing the Multiclass Learnability of Forgiving 0-1 Loss Functions
Jacob Trauger
Tyson Trauger
Ambuj Tewari
290
0
0
09 Oct 2025
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
Emilio Estevan
María Sierra-Torralba
Eduardo López-Larraz
Luis Montesano
233
1
0
09 Oct 2025
Enhancing Self-Supervised Learning with Semantic Pairs A New Dataset and Empirical Study
Enhancing Self-Supervised Learning with Semantic Pairs A New Dataset and Empirical Study
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
SSL
343
0
0
09 Oct 2025
DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation
DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation
Guowei Zou
Haitao Wang
Hejun Wu
Yukun Qian
Yuhang Wang
Weibing Li
137
3
0
09 Oct 2025
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
On the Alignment Between Supervised and Self-Supervised Contrastive Learning
Achleshwar Luthra
Priyadarsi Mishra
Tomer Galanti
SSL
208
1
0
09 Oct 2025
Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors
Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors
Zhiwei Han
Stefan Matthes
Hao Shen
CML
186
1
0
06 Oct 2025
Conditional Representation Learning for Customized Tasks
Conditional Representation Learning for Customized Tasks
Honglin Liu
Chao Sun
Peng Hu
Yunfan Li
Xi Peng
196
2
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06 Oct 2025
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Seong Jin Ahn
Myoung-Ho Kim
341
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0
05 Oct 2025
Unsupervised Transformer Pre-Training for Images: Self-Distillation, Mean Teachers, and Random Crops
Unsupervised Transformer Pre-Training for Images: Self-Distillation, Mean Teachers, and Random Crops
Mattia Scardecchia
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195
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Self-Supervised Representation Learning as Mutual Information Maximization
Self-Supervised Representation Learning as Mutual Information Maximization
Akhlaqur Rahman Sabby
Yi Sui
Tongzi Wu
Jesse C. Cresswell
Ga Wu
SSL
234
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Uncovering the Computational Ingredients of Human-Like Representations in LLMs
Uncovering the Computational Ingredients of Human-Like Representations in LLMs
Zach Studdiford
Timothy T. Rogers
Kushin Mukherjee
Siddharth Suresh
198
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Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers
Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers
Xianhang Li
Chen Huang
Chun-Liang Li
Eran Malach
J. Susskind
Vimal Thilak
Etai Littwin
199
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Interpretable Kernel Representation Learning at Scale: A Unified Framework Utilizing Nyström Approximation
Interpretable Kernel Representation Learning at Scale: A Unified Framework Utilizing Nyström Approximation
Maedeh Zarvandi
Michael Timothy
Theresa Wasserer
Debarghya Ghoshdastidar
250
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Disentanglement of Variations with Multimodal Generative Modeling
Disentanglement of Variations with Multimodal Generative Modeling
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Yiyang Shen
Weiran Wang
176
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GenView++: Unifying Adaptive Generative Augmentation and Quality-Driven Supervision for Contrastive Representation Learning
GenView++: Unifying Adaptive Generative Augmentation and Quality-Driven Supervision for Contrastive Representation Learning
Xiaojie Li
Bei Wang
Jianlong Wu
Yue Yu
Liqiang Nie
Min Zhang
Min Zhang
AI4TS
229
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0
28 Sep 2025
ZeroSiam: An Efficient Asymmetry for Test-Time Entropy Optimization without Collapse
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Guohao Chen
Shuaicheng Niu
Deyu Chen
Jiahao Yang
Zitian Zhang
Zhuliang Yu
Pengcheng Wu
Zhiqi Shen
AAMLVLM
183
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27 Sep 2025
CLAD-Net: Continual Activity Recognition in Multi-Sensor Wearable Systems
CLAD-Net: Continual Activity Recognition in Multi-Sensor Wearable Systems
Reza Rahimi Azghan
Gautham Krishna Gudur
Mohit Malu
Edison Thomaz
Giulia Pedrielli
Pavan Turaga
Hassan Ghasemzadeh
HAI
177
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27 Sep 2025
An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection
An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion DetectionInternational Conference on Information, Communications and Signal Processing (ICICS), 2025
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Tobias Schalau
Gerhard Wunder
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281
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MonoCon: A general framework for learning ultra-compact high-fidelity representations using monotonicity constraints
MonoCon: A general framework for learning ultra-compact high-fidelity representations using monotonicity constraints
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152
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Discovering alternative solutions beyond the simplicity bias in recurrent neural networks
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William Qian
Cengiz Pehlevan
163
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Comparing and Integrating Different Notions of Representational Correspondence in Neural Systems
Comparing and Integrating Different Notions of Representational Correspondence in Neural Systems
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Shreya Saha
Yiqing Bo
Meenakshi Khosla
131
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