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2105.04906
Cited By
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
11 May 2021
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
DML
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Papers citing
"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning"
50 / 613 papers shown
Title
Joint Spatial-Temporal Modeling and Contrastive Learning for Self-supervised Heart Rate Measurement
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Self-Supervised Skeleton-Based Action Representation Learning: A Benchmark and Beyond
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Lilang Lin
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41
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Operational Latent Spaces
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Austin R. Tackett
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An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe
Joakim Bruslund Haurum
Sageev Oore
T. Moeslund
Graham W. Taylor
SSL
46
3
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DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery
Yuning Zhou
H. Badgery
Matthew Read
James Bailey
Catherine E. Davey
37
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03 Jun 2024
Contrasting Multiple Representations with the Multi-Marginal Matching Gap
Zoe Piran
Michal Klein
James Thornton
Marco Cuturi
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Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
Ziqing Fan
Jiangchao Yao
Ruipeng Zhang
Lingjuan Lyu
Ya-Qin Zhang
Yanfeng Wang
FedML
32
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0
29 May 2024
Self-Supervised Learning Based Handwriting Verification
Mihir Chauhan
Mohammad Abuzar Shaikh
Abhishek Satbhai
Mir Basheer Ali
B. Ramamurthy
Mingchen Gao
Siwei Lyu
Sargur Srihari
16
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0
28 May 2024
In-Context Symmetries: Self-Supervised Learning through Contextual World Models
Sharut Gupta
Chenyu Wang
Yifei Wang
Tommi Jaakkola
Stefanie Jegelka
27
1
0
28 May 2024
Learning Visual-Semantic Subspace Representations
Gabriel Moreira
Alexander Hauptmann
Manuel Marques
João Paulo Costeira
NAI
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25 May 2024
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach
Huy V. Vo
Vasil Khalidov
Timothée Darcet
Théo Moutakanni
Nikita Smetanin
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Maxime Oquab
Armand Joulin
Hervé Jégou
Patrick Labatut
Piotr Bojanowski
SSL
53
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MuDreamer: Learning Predictive World Models without Reconstruction
Maxime Burchi
Radu Timofte
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AstroPT: Scaling Large Observation Models for Astronomy
Michael J. Smith
Ryan J. Roberts
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M. Huertas-Company
38
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Efficiency for Free: Ideal Data Are Transportable Representations
Peng Sun
Yi Jiang
Tao Lin
DD
36
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0
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Capsule Network Projectors are Equivariant and Invariant Learners
Miles Everett
A. Durrant
Mingjun Zhong
Georgios Leontidis
SSL
3DPC
38
2
0
23 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
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Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
47
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0
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Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations
Pierre Guetschel
Sara Ahmadi
Michael Tangermann
30
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Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning
Alain Riou
Stefan Lattner
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Geoffroy Peeters
35
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Interpretable Multi-task Learning with Shared Variable Embeddings
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Jacek Mañdziuk
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A review on discriminative self-supervised learning methods
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Tania Stathaki
SSL
49
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FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
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Anlan Yu
Shuai Zhang
Songyang Zhang
FedML
24
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JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos
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Danilo Comminiello
19
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Self-supervised Pre-training of Text Recognizers
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Michal Hradiš
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32
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Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
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CLL
27
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DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencoders
Geert De Paepe
Lesley De Cruz
41
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Center-Based Relaxed Learning Against Membership Inference Attacks
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Jung-Eun Kim
27
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Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognition
H. Ghaffari
Paul Devos
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OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
Sophia Sirko-Galouchenko
Alexandre Boulch
Spyros Gidaris
Andrei Bursuc
Antonín Vobecký
Patrick Pérez
Renaud Marlet
3DPC
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0
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SiNC+: Adaptive Camera-Based Vitals with Unsupervised Learning of Periodic Signals
Jeremy Speth
Nathan Vance
Patrick Flynn
Adam Czajka
26
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EMC
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Chung-Yiu Yau
Hoi-To Wai
Parameswaran Raman
Soumajyoti Sarkar
Mingyi Hong
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Can We Break Free from Strong Data Augmentations in Self-Supervised Learning?
Shruthi Gowda
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Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements
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Matthias Brucklacher
C. Pennartz
Sander M. Bohté
31
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NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Cheol-Hui Lee
Hakseung Kim
Hyun-jee Han
Min-Kyung Jung
Byung C. Yoon
Dong-Joo Kim
32
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0
10 Apr 2024
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data
Yitong Li
Tom Nuno Wolf
Sebastian Polsterl
Igor Yakushev
Dennis M. Hedderich
Christian Wachinger
18
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09 Apr 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability
Jie Zhu
Jirong Zha
Ding Li
Leye Wang
32
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Masked Completion via Structured Diffusion with White-Box Transformers
Druv Pai
Ziyang Wu
Sam Buchanan
Yaodong Yu
Yi-An Ma
27
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MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck
Liangjiang Wen
Xiasi Wang
Jianzhuang Liu
Zenglin Xu
19
2
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28 Mar 2024
TransFusion: Contrastive Learning with Transformers
Huanran Li
Daniel Pimentel-Alarcón
32
0
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27 Mar 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
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30
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Benchmarking Image Transformers for Prostate Cancer Detection from Ultrasound Data
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P. Wilson
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A. Jamzad
Mahdi Gilany
Minh Nguyen Nhat To
Brian Wodlinger
Purang Abolmaesumi
P. Mousavi
ViT
MedIm
27
1
0
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Piecewise-Linear Manifolds for Deep Metric Learning
Shubhang Bhatnagar
Narendra Ahuja
28
4
0
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On Pretraining Data Diversity for Self-Supervised Learning
Hasan Hammoud
Tuhin Das
Fabio Pizzati
Philip H. S. Torr
Adel Bibi
Bernard Ghanem
98
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0
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MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
Azad Singh
Vandan Gorade
Deepak Mishra
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27
2
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Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Ziqi Zhou
Minghui Li
Wei Liu
Shengshan Hu
Yechao Zhang
Wei Wan
Lulu Xue
Leo Yu Zhang
Dezhong Yao
Hai Jin
SILM
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45
9
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When can we Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
Gautham Govind Anil
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29
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VANP: Learning Where to See for Navigation with Self-Supervised Vision-Action Pre-Training
Mohammad Nazeri
Junzhe Wang
Amirreza Payandeh
Xuesu Xiao
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41
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Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound
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Alexander Wong
Jesse Hoey
R. Arntfield
38
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OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation
Baran Ozaydin
Tong Zhang
Deblina Bhattacharjee
Sabine Süsstrunk
Mathieu Salzmann
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LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
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Can Generative Models Improve Self-Supervised Representation Learning?
Sana Ayromlou
Arash Afkanpour
Vahid Reza Khazaie
Fereshteh Forghani
24
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