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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
VNE: An Effective Method for Improving Deep Representation by
  Manipulating Eigenvalue Distribution
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
Jaeill Kim
Suhyun Kang
Duhun Hwang
Jungwook Shin
Wonjong Rhee
DRL
13
20
0
04 Apr 2023
Kaizen: Practical Self-supervised Continual Learning with Continual
  Fine-tuning
Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning
Chi Ian Tang
Lorena Qendro
Dimitris Spathis
F. Kawsar
Cecilia Mascolo
Akhil Mathur
CLL
22
10
0
30 Mar 2023
Soft Neighbors are Positive Supporters in Contrastive Visual
  Representation Learning
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Chongjian Ge
Jiangliu Wang
Zhan Tong
Shoufa Chen
Yibing Song
Ping Luo
SSL
22
27
0
30 Mar 2023
Point2Vec for Self-Supervised Representation Learning on Point Clouds
Point2Vec for Self-Supervised Representation Learning on Point Clouds
Karim Abou Zeid
Jonas Schult
Alexander Hermans
Bastian Leibe
3DPC
20
27
0
29 Mar 2023
On the Stepwise Nature of Self-Supervised Learning
On the Stepwise Nature of Self-Supervised Learning
James B. Simon
Maksis Knutins
Liu Ziyin
Daniel Geisz
Abraham J. Fetterman
Joshua Albrecht
SSL
32
29
0
27 Mar 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Pierre Fernandez
Guillaume Couairon
Hervé Jégou
Matthijs Douze
Teddy Furon
WIGM
17
176
0
27 Mar 2023
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All
  You Need
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need
Vivien A. Cabannes
Léon Bottou
Yann LeCun
Randall Balestriero
40
13
0
27 Mar 2023
Temperature Schedules for Self-Supervised Contrastive Methods on
  Long-Tail Data
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
Anna Kukleva
Moritz Bohle
Bernt Schiele
Hilde Kuehne
Christian Rupprecht
29
39
0
23 Mar 2023
MV-MR: multi-views and multi-representations for self-supervised
  learning and knowledge distillation
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation
Vitaliy Kinakh
M. Drozdova
S. Voloshynovskiy
40
1
0
21 Mar 2023
Dexterity from Touch: Self-Supervised Pre-Training of Tactile
  Representations with Robotic Play
Dexterity from Touch: Self-Supervised Pre-Training of Tactile Representations with Robotic Play
Irmak Güzey
Ben Evans
Soumith Chintala
Lerrel Pinto
61
64
0
21 Mar 2023
ViC-MAE: Self-Supervised Representation Learning from Images and Video
  with Contrastive Masked Autoencoders
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders
J. Hernandez
Ruben Villegas
Vicente Ordonez
SSL
33
2
0
21 Mar 2023
More From Less: Self-Supervised Knowledge Distillation for Routine
  Histopathology Data
More From Less: Self-Supervised Knowledge Distillation for Routine Histopathology Data
Lucas Farndale
R. Insall
Ke Yuan
21
3
0
19 Mar 2023
Feature propagation as self-supervision signals on graphs
Feature propagation as self-supervision signals on graphs
Oscar Pina
Verónica Vilaplana
SSL
12
1
0
15 Mar 2023
Non-Contrastive Unsupervised Learning of Physiological Signals from
  Video
Non-Contrastive Unsupervised Learning of Physiological Signals from Video
Jeremy Speth
Nathan Vance
Patrick Flynn
A. Czajka
AI4TS
48
42
0
14 Mar 2023
Sample-efficient Adversarial Imitation Learning
Sample-efficient Adversarial Imitation Learning
Dahuin Jung
Hyungyu Lee
Sung-Hoon Yoon
SSL
18
2
0
14 Mar 2023
Robust Contrastive Language-Image Pre-training against Data Poisoning
  and Backdoor Attacks
Robust Contrastive Language-Image Pre-training against Data Poisoning and Backdoor Attacks
Wenhan Yang
Jingdong Gao
Baharan Mirzasoleiman
VLM
100
18
0
13 Mar 2023
Functional Knowledge Transfer with Self-supervised Representation
  Learning
Functional Knowledge Transfer with Self-supervised Representation Learning
Prakash Chandra Chhipa
Muskan Chopra
G. Mengi
Varun Gupta
Richa Upadhyay
Meenakshi Subhash Chippa
Kanjar De
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSL
11
2
0
12 Mar 2023
Improving Masked Autoencoders by Learning Where to Mask
Improving Masked Autoencoders by Learning Where to Mask
Haijia Chen
Wendong Zhang
Yunbo Wang
Xiaokang Yang
SSL
15
20
0
12 Mar 2023
Towards domain-invariant Self-Supervised Learning with Batch Styles
  Standardization
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
Marin Scalbert
Maria Vakalopoulou
Florent Couzinié-Devy
12
2
0
10 Mar 2023
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated
  Medical Image Analysis
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis
Soumitri Chattopadhyay
Soham Ganguly
Sreejit Chaudhury
Sayan Nag
S. Chattopadhyay
19
0
0
09 Mar 2023
Distortion-Disentangled Contrastive Learning
Distortion-Disentangled Contrastive Learning
Jinfeng Wang
Sifan Song
Jionglong Su
S. Kevin Zhou
SSL
41
4
0
09 Mar 2023
Improving Self-Supervised Learning for Audio Representations by Feature
  Diversity and Decorrelation
Improving Self-Supervised Learning for Audio Representations by Feature Diversity and Decorrelation
Bac Nguyen
Stefan Uhlich
Fabien Cardinaux
SSL
42
3
0
07 Mar 2023
MAST: Masked Augmentation Subspace Training for Generalizable
  Self-Supervised Priors
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Chen Huang
Hanlin Goh
Jiatao Gu
J. Susskind
SSL
OOD
42
6
0
07 Mar 2023
Learning Efficient Coding of Natural Images with Maximum Manifold
  Capacity Representations
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations
T. Yerxa
Yilun Kuang
Eero P. Simoncelli
SueYeon Chung
11
0
0
06 Mar 2023
Exploring Self-Supervised Representation Learning For Low-Resource
  Medical Image Analysis
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image Analysis
Soumitri Chattopadhyay
Soham Ganguly
Sreejit Chaudhury
Sayan Nag
S. Chattopadhyay
28
1
0
03 Mar 2023
TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound
  Using Attention and Self-Supervision
TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision
Mahdi Gilany
P. Wilson
Andrea Perera-Ortega
A. Jamzad
Minh Nguyen Nhat To
Fahimeh Fooladgar
Brian Wodlinger
Purang Abolmaesumi
P. Mousavi
ViT
MedIm
22
10
0
03 Mar 2023
Towards Democratizing Joint-Embedding Self-Supervised Learning
Towards Democratizing Joint-Embedding Self-Supervised Learning
Florian Bordes
Randall Balestriero
Pascal Vincent
19
20
0
03 Mar 2023
Learning Common Rationale to Improve Self-Supervised Representation for
  Fine-Grained Visual Recognition Problems
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
Yangyang Shu
A. Hengel
Lingqiao Liu
SSL
28
14
0
03 Mar 2023
An Information-Theoretic Perspective on Variance-Invariance-Covariance
  Regularization
An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
Ravid Shwartz-Ziv
Randall Balestriero
Kenji Kawaguchi
Tim G. J. Rudner
Yann LeCun
30
23
0
01 Mar 2023
TimeMAE: Self-Supervised Representations of Time Series with Decoupled
  Masked Autoencoders
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
Mingyue Cheng
Qi Liu
Zhiding Liu
Haotong Zhang
Rujiao Zhang
Enhong Chen
AI4TS
29
42
0
01 Mar 2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked
  Image Modeling For Label-Efficient Representations
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
Ziyu Jiang
Yinpeng Chen
Mengchen Liu
Dongdong Chen
Xiyang Dai
Lu Yuan
Zicheng Liu
Zhangyang Wang
SSL
VLM
CLIP
32
16
0
27 Feb 2023
Internet Explorer: Targeted Representation Learning on the Open Web
Internet Explorer: Targeted Representation Learning on the Open Web
Alexander C. Li
Ellis L Brown
Alexei A. Efros
Deepak Pathak
VLM
16
24
0
27 Feb 2023
Random Teachers are Good Teachers
Random Teachers are Good Teachers
Felix Sarnthein
Gregor Bachmann
Sotiris Anagnostidis
Thomas Hofmann
19
4
0
23 Feb 2023
Self-supervised network distillation: an effective approach to
  exploration in sparse reward environments
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Matej Pecháč
M. Chovanec
Igor Farkaš
19
3
0
22 Feb 2023
Self-supervised learning of Split Invariant Equivariant representations
Self-supervised learning of Split Invariant Equivariant representations
Q. Garrido
Laurent Najman
Yann LeCun
SSL
24
32
0
14 Feb 2023
Policy-Induced Self-Supervision Improves Representation Finetuning in
  Visual RL
Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL
Sébastien M. R. Arnold
Fei Sha
SSL
13
0
0
12 Feb 2023
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a
  Queue
Q-Match: Self-Supervised Learning by Matching Distributions Induced by a Queue
Thomas Mulc
Debidatta Dwibedi
SSL
10
0
0
10 Feb 2023
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
Pierre Harvey Richemond
Allison C. Tam
Yunhao Tang
Florian Strub
Bilal Piot
Felix Hill
SSL
26
9
0
09 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood
  Alignment
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment
Wei Dong
Dawei Yan
Peifeng Wang
SSL
9
2
0
09 Feb 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
Vivien A. Cabannes
B. Kiani
Randall Balestriero
Yann LeCun
A. Bietti
SSL
11
31
0
06 Feb 2023
CIPER: Combining Invariant and Equivariant Representations Using
  Contrastive and Predictive Learning
CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning
Xia Xu
Jochen Triesch
SSL
15
2
0
05 Feb 2023
Self-supervised Multi-view Disentanglement for Expansion of Visual
  Collections
Self-supervised Multi-view Disentanglement for Expansion of Visual Collections
Nihal Jain
Praneetha Vaddamanu
Paridhi Maheshwari
Vishwa Vinay
K. Kulkarni
17
3
0
04 Feb 2023
Rethinking Semi-Supervised Medical Image Segmentation: A
  Variance-Reduction Perspective
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
Chenyu You
Weicheng Dai
Yifei Min
Fenglin Liu
David A. Clifton
S. Kevin Zhou
Lawrence H. Staib
James S Duncan
20
69
0
03 Feb 2023
Blockwise Self-Supervised Learning at Scale
Blockwise Self-Supervised Learning at Scale
Shoaib Ahmed Siddiqui
David M. Krueger
Yann LeCun
Stéphane Deny
SSL
25
15
0
03 Feb 2023
Style Feature Extraction Using Contrastive Conditioned Variational
  Autoencoders with Mutual Information Constraints
Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders with Mutual Information Constraints
S. Yasutomi
Toshihisa Tanaka
SSL
DRL
17
0
0
03 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models
Energy-Inspired Self-Supervised Pretraining for Vision Models
Ze Wang
Jiang Wang
Zicheng Liu
Qiang Qiu
21
8
0
02 Feb 2023
Cross-Architectural Positive Pairs improve the effectiveness of
  Self-Supervised Learning
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning
P. Singh
Jacopo Cirrone
SSL
40
0
0
27 Jan 2023
Understanding Self-Supervised Pretraining with Part-Aware Representation
  Learning
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning
Jie Zhu
Jiyang Qi
Mingyu Ding
Xiaokang Chen
Ping Luo
Xinggang Wang
Wenyu Liu
Leye Wang
Jingdong Wang
SSL
33
8
0
27 Jan 2023
Task-Agnostic Graph Neural Network Evaluation via Adversarial
  Collaboration
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
Xiangyu Zhao
Hannes Stärk
Dominique Beaini
Yiren Zhao
Pietro Lio'
24
0
0
27 Jan 2023
Multilingual Multiaccented Multispeaker TTS with RADTTS
Multilingual Multiaccented Multispeaker TTS with RADTTS
Rohan Badlani
Rafael Valle
Kevin J. Shih
J. F. Santos
Siddharth Gururani
Bryan Catanzaro
16
6
0
24 Jan 2023
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