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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
Simple Emergent Action Representations from Multi-Task Policy Training
Simple Emergent Action Representations from Multi-Task Policy Training
Pu Hua
Yubei Chen
Huazhe Xu
MLAU
17
6
0
18 Oct 2022
Non-Contrastive Learning Meets Language-Image Pre-Training
Non-Contrastive Learning Meets Language-Image Pre-Training
Jinghao Zhou
Li Dong
Zhe Gan
Lijuan Wang
Furu Wei
VLM
CLIP
17
26
0
17 Oct 2022
Self-Supervised Learning Through Efference Copies
Self-Supervised Learning Through Efference Copies
Franz Scherr
Qinghai Guo
Timoleon Moraitis
19
10
0
17 Oct 2022
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
Srikrishna Jaganathan
Maximilian Kukla
Jian Wang
Karthik Shetty
Andreas K. Maier
3DPC
29
10
0
14 Oct 2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support
Disentanglement of Correlated Factors via Hausdorff Factorized Support
Karsten Roth
Mark Ibrahim
Zeynep Akata
Pascal Vincent
Diane Bouchacourt
CML
OOD
CoGe
30
33
0
13 Oct 2022
The Hidden Uniform Cluster Prior in Self-Supervised Learning
The Hidden Uniform Cluster Prior in Self-Supervised Learning
Mahmoud Assran
Randall Balestriero
Quentin Duval
Florian Bordes
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Nicolas Ballas
SSL
44
46
0
13 Oct 2022
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality
Sridhar Pandian Arunachalam
Irmak Güzey
Soumith Chintala
Lerrel Pinto
32
67
0
12 Oct 2022
Motion Aware Self-Supervision for Generic Event Boundary Detection
Motion Aware Self-Supervision for Generic Event Boundary Detection
Ayush Rai
Tarun Krishna
J. Dietlmeier
Kevin McGuinness
A. Smeaton
Noel E. O'Connor
21
2
0
11 Oct 2022
An Exploration of Hierarchical Attention Transformers for Efficient Long
  Document Classification
An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification
Ilias Chalkidis
Xiang Dai
Manos Fergadiotis
Prodromos Malakasiotis
Desmond Elliott
32
33
0
11 Oct 2022
Self-supervised debiasing using low rank regularization
Self-supervised debiasing using low rank regularization
Geon Yeong Park
Chanyong Jung
Sangmin Lee
Jong Chul Ye
Sang Wan Lee
CML
SSL
36
3
0
11 Oct 2022
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature
  Alignment
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
Shraman Pramanick
Li Jing
Sayan Nag
Jiachen Zhu
Hardik Shah
Yann LeCun
Ramalingam Chellappa
24
21
0
09 Oct 2022
RankMe: Assessing the downstream performance of pretrained
  self-supervised representations by their rank
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
46
72
0
05 Oct 2022
Contrastive Learning Can Find An Optimal Basis For Approximately
  View-Invariant Functions
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
Daniel D. Johnson
Ayoub El Hanchi
Chris J. Maddison
SSL
21
22
0
04 Oct 2022
VICRegL: Self-Supervised Learning of Local Visual Features
VICRegL: Self-Supervised Learning of Local Visual Features
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
17
119
0
04 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data
  Augmentation
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
A. Puli
Nitish Joshi
Yoav Wald
Hera Y. He
Rajesh Ranganath
37
16
0
04 Oct 2022
Masked Supervised Learning for Semantic Segmentation
Masked Supervised Learning for Semantic Segmentation
H. Zunair
A. Ben Hamza
22
6
0
03 Oct 2022
What shapes the loss landscape of self-supervised learning?
What shapes the loss landscape of self-supervised learning?
Liu Ziyin
Ekdeep Singh Lubana
Masakuni Ueda
Hidenori Tanaka
48
20
0
02 Oct 2022
Federated Representation Learning via Maximal Coding Rate Reduction
Federated Representation Learning via Maximal Coding Rate Reduction
J. Cerviño
Navid Naderializadeh
Alejandro Ribeiro
FedML
36
0
0
01 Oct 2022
Towards Understanding and Mitigating Dimensional Collapse in
  Heterogeneous Federated Learning
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
Yujun Shi
Jian Liang
Wenqing Zhang
Vincent Y. F. Tan
Song Bai
FedML
79
55
0
01 Oct 2022
Federated Training of Dual Encoding Models on Small Non-IID Client
  Datasets
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets
Raviteja Vemulapalli
Warren Morningstar
Philip Mansfield
Hubert Eichner
K. Singhal
Arash Afkanpour
Bradley Green
FedML
27
2
0
30 Sep 2022
Disentanglement with Biological Constraints: A Theory of Functional Cell
  Types
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
James C. R. Whittington
W. Dorrell
Surya Ganguli
Timothy Edward John Behrens
36
39
0
30 Sep 2022
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Yubei Chen
Zeyu Yun
Y. Ma
Bruno A. Olshausen
Yann LeCun
45
8
0
30 Sep 2022
Mind Reader: Reconstructing complex images from brain activities
Mind Reader: Reconstructing complex images from brain activities
Sikun Lin
Thomas C. Sprague
Ambuj K. Singh
DiffM
124
86
0
30 Sep 2022
Understanding Collapse in Non-Contrastive Siamese Representation
  Learning
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
45
33
0
29 Sep 2022
Variance Covariance Regularization Enforces Pairwise Independence in
  Self-Supervised Representations
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations
Grégoire Mialon
Randall Balestriero
Yann LeCun
24
9
0
29 Sep 2022
Joint Embedding Self-Supervised Learning in the Kernel Regime
Joint Embedding Self-Supervised Learning in the Kernel Regime
B. Kiani
Randall Balestriero
Yubei Chen
S. Lloyd
Yann LeCun
SSL
41
13
0
29 Sep 2022
Text-Adaptive Multiple Visual Prototype Matching for Video-Text
  Retrieval
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval
Che-Hsien Lin
Ancong Wu
Junwei Liang
Jun Zhang
Wenhang Ge
Wei Zheng
Chunhua Shen
87
21
0
27 Sep 2022
Multi-dataset Training of Transformers for Robust Action Recognition
Multi-dataset Training of Transformers for Robust Action Recognition
Junwei Liang
Enwei Zhang
Jun Zhang
Chunhua Shen
ViT
37
11
0
26 Sep 2022
Pretraining the Vision Transformer using self-supervised methods for
  vision based Deep Reinforcement Learning
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão
Arlindo L. Oliveira
ViT
33
6
0
22 Sep 2022
Contrastive Learning for Time Series on Dynamic Graphs
Contrastive Learning for Time Series on Dynamic Graphs
Yitian Zhang
Florence Regol
Antonios Valkanas
Mark J. Coates
AI4TS
14
0
0
21 Sep 2022
Interneurons accelerate learning dynamics in recurrent neural networks
  for statistical adaptation
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
David Lipshutz
C. Pehlevan
D. Chklovskii
17
11
0
21 Sep 2022
The Geometry of Self-supervised Learning Models and its Impact on
  Transfer Learning
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning
Romain Cosentino
Sarath Shekkizhar
Mahdi Soltanolkotabi
A. Avestimehr
Antonio Ortega
SSL
46
7
0
18 Sep 2022
Self-Supervised Learning with an Information Maximization Criterion
Self-Supervised Learning with an Information Maximization Criterion
Serdar Ozsoy
Shadi S. Hamdan
Sercan Ö. Arik
Deniz Yuret
A. Erdogan
SSL
16
33
0
16 Sep 2022
Towards A Unified Policy Abstraction Theory and Representation Learning
  Approach in Markov Decision Processes
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes
M. Zhang
Hongyao Tang
Jianye Hao
Yan Zheng
OffRL
23
0
0
16 Sep 2022
Improving Self-Supervised Learning by Characterizing Idealized
  Representations
Improving Self-Supervised Learning by Characterizing Idealized Representations
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Percy Liang
SSL
68
40
0
13 Sep 2022
HistoPerm: A Permutation-Based View Generation Approach for Improving
  Histopathologic Feature Representation Learning
HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning
Joseph DiPalma
Lorenzo Torresani
Saeed Hassanpour
AI4TS
MedIm
22
2
0
13 Sep 2022
Graph Neural Networks for Molecules
Graph Neural Networks for Molecules
Yuyang Wang
Zijie Li
A. Farimani
GNN
AI4CE
45
20
0
12 Sep 2022
Self-Supervised Pyramid Representation Learning for Multi-Label Visual
  Analysis and Beyond
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond
Cheng-Yen Hsieh
Chih-Jung Chang
Fu-En Yang
Yu-Chiang Frank Wang
SSL
20
8
0
30 Aug 2022
Light-weight probing of unsupervised representations for Reinforcement
  Learning
Light-weight probing of unsupervised representations for Reinforcement Learning
Wancong Zhang
Anthony GX-Chen
Vlad Sobal
Yann LeCun
Nicolas Carion
SSL
OffRL
33
13
0
25 Aug 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
Xiaofan Yu
Yunhui Guo
Sicun Gao
Tajana Simunic
CLL
SSL
28
14
0
24 Aug 2022
Comparison of semi-supervised learning methods for High Content
  Screening quality control
Comparison of semi-supervised learning methods for High Content Screening quality control
Umar Masud
Ethan O. Cohen
Ihab Bendidi
Guillaume Bollot
Auguste Genovesio
26
4
0
09 Aug 2022
Understanding Masked Image Modeling via Learning Occlusion Invariant
  Feature
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
Xiangwen Kong
Xiangyu Zhang
SSL
24
53
0
08 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning
Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi
Ekdeep Singh Lubana
Mark Heimann
Danai Koutra
Jayaraman J. Thiagarajan
26
11
0
04 Aug 2022
What can we Learn by Predicting Accuracy?
What can we Learn by Predicting Accuracy?
Olivier Risser-Maroix
Benjamin Chamand
22
4
0
02 Aug 2022
SampleMatch: Drum Sample Retrieval by Musical Context
SampleMatch: Drum Sample Retrieval by Musical Context
Stefan Lattner
22
7
0
01 Aug 2022
Self-supervised learning with rotation-invariant kernels
Self-supervised learning with rotation-invariant kernels
Léon Zheng
Gilles Puy
E. Riccietti
Patrick Pérez
Rémi Gribonval
SSL
9
2
0
28 Jul 2022
Contrastive Masked Autoencoders are Stronger Vision Learners
Contrastive Masked Autoencoders are Stronger Vision Learners
Zhicheng Huang
Xiaojie Jin
Cheng Lu
Qibin Hou
Mingg-Ming Cheng
Dongmei Fu
Xiaohui Shen
Jiashi Feng
31
147
0
27 Jul 2022
Time to augment self-supervised visual representation learning
Time to augment self-supervised visual representation learning
A. Aubret
M. Ernst
Céline Teulière
Jochen Triesch
26
10
0
27 Jul 2022
Unsupervised Domain Adaptation for Video Transformers in Action
  Recognition
Unsupervised Domain Adaptation for Video Transformers in Action Recognition
Victor G. Turrisi da Costa
Giacomo Zara
Paolo Rota
Thiago Oliveira-Santos
N. Sebe
Vittorio Murino
Elisa Ricci
14
13
0
26 Jul 2022
Equivariance and Invariance Inductive Bias for Learning from
  Insufficient Data
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data
Tan Wang
Qianru Sun
Sugiri Pranata
J. Karlekar
Hanwang Zhang
SSL
31
19
0
25 Jul 2022
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