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VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

11 May 2021
Adrien Bardes
Jean Ponce
Yann LeCun
    SSL
    DML
ArXivPDFHTML

Papers citing "VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning"

50 / 613 papers shown
Title
Decoupling Common and Unique Representations for Multimodal
  Self-supervised Learning
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Chenying Liu
Zhitong Xiong
Xiaoxiang Zhu
SSL
25
16
0
11 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups
Adapting Self-Supervised Representations to Multi-Domain Setups
N. Kalibhat
Sam Sharpe
Jeremy Goodsitt
Bayan Bruss
S. Feizi
28
0
0
07 Sep 2023
ViewMix: Augmentation for Robust Representation in Self-Supervised
  Learning
ViewMix: Augmentation for Robust Representation in Self-Supervised Learning
A. Das
Xin Zhong
SSL
22
0
0
06 Sep 2023
Contrastive Learning as Kernel Approximation
Contrastive Learning as Kernel Approximation
Konstantinos Christopher Tsiolis
SSL
18
0
0
06 Sep 2023
Self-Supervised Pretraining Improves Performance and Inference
  Efficiency in Multiple Lung Ultrasound Interpretation Tasks
Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks
Blake Vanberlo
Brian Li
Jesse Hoey
Alexander Wong
19
3
0
05 Sep 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic
  Tasks with Radiological Images
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake Vanberlo
Jesse Hoey
Alexander Wong
SSL
LM&MA
18
2
0
05 Sep 2023
Variational Self-Supervised Contrastive Learning Using Beta Divergence
Variational Self-Supervised Contrastive Learning Using Beta Divergence
Mehmet Can Yavuz
Berrin Yanikoglu
SSL
27
0
0
05 Sep 2023
Probabilistic Self-supervised Learning via Scoring Rules Minimization
Probabilistic Self-supervised Learning via Scoring Rules Minimization
Amirhossein Vahidi
Simon Schoßer
Lisa Wimmer
Yawei Li
B. Bischl
Eyke Hüllermeier
Mina Rezaei
SSL
20
2
0
05 Sep 2023
Representation Learning Dynamics of Self-Supervised Models
Representation Learning Dynamics of Self-Supervised Models
P. Esser
Satyaki Mukherjee
D. Ghoshdastidar
SSL
19
2
0
05 Sep 2023
Layer-wise training for self-supervised learning on graphs
Layer-wise training for self-supervised learning on graphs
Oscar Pina
Verónica Vilaplana
SSL
GNN
34
1
0
04 Sep 2023
BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic
  Segmentation
BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation
Johannes Kunzel
A. Hilsmann
Peter Eisert
15
0
0
31 Aug 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive
  Learning
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
Kyungeun Lee
Jaeill Kim
Suhyun Kang
Wonjong Rhee
SSL
33
2
0
30 Aug 2023
Diversified Ensemble of Independent Sub-Networks for Robust
  Self-Supervised Representation Learning
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning
Amirhossein Vahidi
Lisa Wimmer
H. Gündüz
Bernd Bischl
Eyke Hüllermeier
Mina Rezaei
OOD
UQCV
30
4
0
28 Aug 2023
Adversarial Attacks on Foundational Vision Models
Adversarial Attacks on Foundational Vision Models
Nathan Inkawhich
Gwendolyn McDonald
R. Luley
VLM
33
12
0
28 Aug 2023
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep
  Learning for the Prediction of Drug Efficacy
Spatio-Temporal Analysis of Patient-Derived Organoid Videos Using Deep Learning for the Prediction of Drug Efficacy
Leo Fillioux
E. Gontran
J. Cartry
J. Mathieu
Sabrina Bedja
A. Boilève
P. Cournède
F. Jaulin
Stergios Christodoulidis
Maria Vakalopoulou
22
6
0
28 Aug 2023
Forensic Histopathological Recognition via a Context-Aware MIL Network
  Powered by Self-Supervised Contrastive Learning
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning
Chen Shen
Jun Zhang
Xinggong Liang
Zeyi Hao
Ke Li
Fan Wang
Zhenyuan Wang
C. Lian
14
2
0
27 Aug 2023
Adaptive whitening with fast gain modulation and slow synaptic
  plasticity
Adaptive whitening with fast gain modulation and slow synaptic plasticity
Lyndon Duong
Eero P. Simoncelli
D. Chklovskii
David Lipshutz
24
4
0
25 Aug 2023
A Survey on Self-Supervised Representation Learning
A Survey on Self-Supervised Representation Learning
Tobias Uelwer
Jan Robine
Stefan Sylvius Wagner
Marc Höftmann
Eric Upschulte
S. Konietzny
Maike Behrendt
Stefan Harmeling
SSL
AI4TS
OOD
24
12
0
22 Aug 2023
Masked Momentum Contrastive Learning for Zero-shot Semantic
  Understanding
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Jiantao Wu
Shentong Mo
Muhammad Awais
Sara Atito
Zhenhua Feng
J. Kittler
VLM
27
4
0
22 Aug 2023
A Review on Objective-Driven Artificial Intelligence
A Review on Objective-Driven Artificial Intelligence
Apoorv Singh
11
2
0
20 Aug 2023
Efficient Representation Learning for Healthcare with
  Cross-Architectural Self-Supervision
Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision
P. Singh
Jacopo Cirrone
OOD
SSL
27
2
0
19 Aug 2023
Contrastive Learning for Lane Detection via Cross-Similarity
Contrastive Learning for Lane Detection via Cross-Similarity
Ali Zoljodi
S. Abadijou
Mina Alibeigi
Masoud Daneshtalab
SSL
16
4
0
16 Aug 2023
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based
  Unsupervised Representation Learning Problems
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
Momojit Biswas
Himanshu Buckchash
Dilip K. Prasad
SSL
26
7
0
14 Aug 2023
A Brief Yet In-Depth Survey of Deep Learning-Based Image Watermarking
A Brief Yet In-Depth Survey of Deep Learning-Based Image Watermarking
Xin Zhong
A. Das
Fahad Alrasheedi
A. Tanvir
22
2
0
08 Aug 2023
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning
Omer Veysel Cagatan
Barış Akgün
BDL
OffRL
27
3
0
08 Aug 2023
Class Incremental Learning with Self-Supervised Pre-Training and
  Prototype Learning
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSL
CLL
39
11
0
04 Aug 2023
Learning beyond sensations: how dreams organize neuronal representations
Learning beyond sensations: how dreams organize neuronal representations
Nicolas Deperrois
Mihai A. Petrovici
Walter Senn
Jakob Jordan
SSL
CLL
11
6
0
03 Aug 2023
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Dynamically Scaled Temperature in Self-Supervised Contrastive Learning
Siladittya Manna
Soumitri Chattopadhyay
Rakesh Dey
Saumik Bhattacharya
Umapada Pal
30
1
0
02 Aug 2023
Stochastic positional embeddings improve masked image modeling
Stochastic positional embeddings improve masked image modeling
Amir Bar
Florian Bordes
Assaf Shocher
Mahmoud Assran
Pascal Vincent
Nicolas Ballas
Trevor Darrell
Amir Globerson
Yann LeCun
25
3
0
31 Jul 2023
Can Self-Supervised Representation Learning Methods Withstand
  Distribution Shifts and Corruptions?
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
Prakash Chandra Chhipa
Johan Rodahl Holmgren
Kanjar De
Rajkumar Saini
Marcus Liwicki
SSL
OOD
20
6
0
31 Jul 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning:
  A Survey
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
AAML
38
6
0
30 Jul 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised
  Learning of Motion and Content Features
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Adrien Bardes
Jean Ponce
Yann LeCun
MDE
33
23
0
24 Jul 2023
Downstream-agnostic Adversarial Examples
Downstream-agnostic Adversarial Examples
Ziqi Zhou
Shengshan Hu
Rui-Qing Zhao
Qian Wang
L. Zhang
Junhui Hou
Hai Jin
SILM
AAML
21
24
0
23 Jul 2023
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time
  Series
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
Aniruddh Raghu
P. Chandak
Ridwan Alam
John Guttag
Collin M. Stultz
AI4TS
17
13
0
20 Jul 2023
Language-based Action Concept Spaces Improve Video Self-Supervised
  Learning
Language-based Action Concept Spaces Improve Video Self-Supervised Learning
Kanchana Ranasinghe
Michael S. Ryoo
SSL
VLM
37
12
0
20 Jul 2023
Grounded Object Centric Learning
Grounded Object Centric Learning
Avinash Kori
Francesco Locatello
Fabio De Sousa Ribeiro
Francesca Toni
Ben Glocker
OCL
22
7
0
18 Jul 2023
MOCA: Self-supervised Representation Learning by Predicting Masked
  Online Codebook Assignments
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Spyros Gidaris
Andrei Bursuc
Oriane Siméoni
Antonín Vobecký
N. Komodakis
Matthieu Cord
Patrick Pérez
SSL
ViT
21
3
0
18 Jul 2023
Towards the Sparseness of Projection Head in Self-Supervised Learning
Towards the Sparseness of Projection Head in Self-Supervised Learning
Zeen Song
Xingzhe Su
Jingyao Wang
Wenwen Qiang
Changwen Zheng
Fuchun Sun
36
3
0
18 Jul 2023
Diffusion Models Beat GANs on Image Classification
Diffusion Models Beat GANs on Image Classification
Soumik Mukhopadhyay
M. Gwilliam
Vatsal Agarwal
Namitha Padmanabhan
A. Swaminathan
Srinidhi Hegde
Tianyi Zhou
Abhinav Shrivastava
DiffM
29
45
1
17 Jul 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential
  Equations
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Grégoire Mialon
Q. Garrido
Hannah Lawrence
Danyal Rehman
Yann LeCun
B. Kiani
SSL
27
25
0
11 Jul 2023
Reducing False Alarms in Video Surveillance by Deep Feature Statistical
  Modeling
Reducing False Alarms in Video Surveillance by Deep Feature Statistical Modeling
Xavier Bou
Aitor Artola
T. Ehret
Gabriele Facciolo
Jean-Michel Morel
R. G. V. Gioi
14
0
0
09 Jul 2023
IAdet: Simplest human-in-the-loop object detection
IAdet: Simplest human-in-the-loop object detection
Franco Marchesoni-Acland
Gabriele Facciolo
VLM
51
1
0
04 Jul 2023
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
Mohammad Alkhalefi
Georgios Leontidis
Min Zhong
SSL
87
2
0
28 Jun 2023
MIMIC: Masked Image Modeling with Image Correspondences
MIMIC: Masked Image Modeling with Image Correspondences
Kalyani Marathe
Mahtab Bigverdi
Nishat Khan
Tuhin Kundu
Patrick Howe
Sharan Ranjit S
Anand Bhattad
Aniruddha Kembhavi
Linda G. Shapiro
Ranjay Krishna
27
0
0
27 Jun 2023
Manifold Contrastive Learning with Variational Lie Group Operators
Manifold Contrastive Learning with Variational Lie Group Operators
Kion Fallah
Alec Helbling
Kyle A. Johnsen
Christopher Rozell
SSL
DRL
25
1
0
23 Jun 2023
Patch-Level Contrasting without Patch Correspondence for Accurate and
  Dense Contrastive Representation Learning
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
Shaofeng Zhang
Feng Zhu
Rui Zhao
Junchi Yan
24
17
0
23 Jun 2023
Variance-Covariance Regularization Improves Representation Learning
Variance-Covariance Regularization Improves Representation Learning
Jiachen Zhu
Katrina Evtimova
Yubei Chen
Ravid Shwartz-Ziv
Yann LeCun
SSL
20
7
0
23 Jun 2023
Continual Learners are Incremental Model Generalizers
Continual Learners are Incremental Model Generalizers
Jaehong Yoon
Sung Ju Hwang
Yu Cao
CLL
33
4
0
21 Jun 2023
Joint multi-modal Self-Supervised pre-training in Remote Sensing:
  Application to Methane Source Classification
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification
P. Berg
M. Pham
Nicolas Courty
SSL
25
2
0
16 Jun 2023
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
Tom Dupuis
Jaonary Rabarisoa
Q. C. Pham
David Filliat
36
0
0
14 Jun 2023
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