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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"

13 / 613 papers shown
Title
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou
Aixin Sun
Yong-jin Liu
Jie M. Zhang
C. Miao
SSL
25
76
0
07 Jul 2021
Can contrastive learning avoid shortcut solutions?
Can contrastive learning avoid shortcut solutions?
Joshua Robinson
Li Sun
Ke Yu
Kayhan Batmanghelich
Stefanie Jegelka
S. Sra
SSL
19
141
0
21 Jun 2021
Lossy Compression for Lossless Prediction
Lossy Compression for Lossless Prediction
Yann Dubois
Benjamin Bloem-Reddy
Karen Ullrich
Chris J. Maddison
20
59
0
21 Jun 2021
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
M. Willetts
Brooks Paige
CML
OOD
8
22
0
09 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
11
301
0
08 Jun 2021
Efficient Training of Visual Transformers with Small Datasets
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu
E. Sangineto
Wei Bi
N. Sebe
Bruno Lepri
Marco De Nadai
ViT
28
164
0
07 Jun 2021
GraphVICRegHSIC: Towards improved self-supervised representation
  learning for graphs with a hyrbid loss function
GraphVICRegHSIC: Towards improved self-supervised representation learning for graphs with a hyrbid loss function
Sayan Nag
SSL
22
0
0
25 May 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
Combating the Instability of Mutual Information-based Losses via
  Regularization
Combating the Instability of Mutual Information-based Losses via Regularization
Kwanghee Choi
Siyeong Lee
AAML
22
4
0
16 Nov 2020
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
250
114
0
20 Oct 2020
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
A. P. Condurache
ViT
AI4CE
27
9
0
30 Jun 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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