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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
Dynamic Channel Selection in Self-Supervised Learning
Dynamic Channel Selection in Self-Supervised Learning
Tarun Krishna
Ayush Rai
Y. A. D. Djilali
A. Smeaton
Kevin McGuinness
Noel E. O'Connor
SSL
34
2
0
25 Jul 2022
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization
  and Nearest Source Prototypes
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes
Sungha Choi
Seunghan Yang
Seokeon Choi
Sungrack Yun
TTA
OOD
25
64
0
24 Jul 2022
Better Reasoning Behind Classification Predictions with BERT for Fake
  News Detection
Better Reasoning Behind Classification Predictions with BERT for Fake News Detection
Daesoo Lee
SSL
25
0
0
23 Jul 2022
Decoupled Adversarial Contrastive Learning for Self-supervised
  Adversarial Robustness
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
Axi Niu
Jiu Feng
Chang-Dong Yoo
In So Kweon
SSL
35
24
0
22 Jul 2022
What Do We Maximize in Self-Supervised Learning?
What Do We Maximize in Self-Supervised Learning?
Ravid Shwartz-Ziv
Randall Balestriero
Yann LeCun
SSL
29
17
0
20 Jul 2022
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic
  Scenarios
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios
Lakshman Balasubramanian
Jonas Wurst
R. Egolf
M. Botsch
Wolfgang Utschick
Ke Deng
ViT
27
1
0
18 Jul 2022
HOME: High-Order Mixed-Moment-based Embedding for Representation
  Learning
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning
Chuang Niu
Ge Wang
SSL
10
4
0
15 Jul 2022
Label-Efficient Self-Supervised Speaker Verification With Information
  Maximization and Contrastive Learning
Label-Efficient Self-Supervised Speaker Verification With Information Maximization and Contrastive Learning
Théo Lepage
Réda Dehak
SSL
18
11
0
12 Jul 2022
An Embedding-Dynamic Approach to Self-supervised Learning
An Embedding-Dynamic Approach to Self-supervised Learning
Suhong Moon
Domas Buracas
Seunghyun Park
Jinkyu Kim
John F. Canny
OCL
25
4
0
07 Jul 2022
Transfer Learning with Deep Tabular Models
Transfer Learning with Deep Tabular Models
Roman Levin
Valeriia Cherepanova
Avi Schwarzschild
Arpit Bansal
C. B. Bruss
Tom Goldstein
A. Wilson
Micah Goldblum
OOD
FedML
LMTD
75
58
0
30 Jun 2022
TINC: Temporally Informed Non-Contrastive Learning for Disease
  Progression Modeling in Retinal OCT Volumes
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes
T. Emre
A. Chakravarty
Antoine Rivail
Sophie Riedl
U. Schmidt-Erfurth
Hrvoje Bogunović
26
14
0
30 Jun 2022
Primitive Graph Learning for Unified Vector Mapping
Primitive Graph Learning for Unified Vector Mapping
Lei Wang
Min Dai
Jianan He
Jingwei Huang
Mingwei Sun
17
0
0
28 Jun 2022
Guillotine Regularization: Why removing layers is needed to improve
  generalization in Self-Supervised Learning
Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning
Florian Bordes
Randall Balestriero
Q. Garrido
Adrien Bardes
Pascal Vincent
22
22
0
27 Jun 2022
Self-supervised Learning in Remote Sensing: A Review
Self-supervised Learning in Remote Sensing: A Review
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
19
218
0
27 Jun 2022
Behavior Transformers: Cloning $k$ modes with one stone
Behavior Transformers: Cloning kkk modes with one stone
Nur Muhammad (Mahi) Shafiullah
Zichen Jeff Cui
Ariuntuya Altanzaya
Lerrel Pinto
OffRL
17
221
0
22 Jun 2022
TiCo: Transformation Invariance and Covariance Contrast for
  Self-Supervised Visual Representation Learning
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
Jiachen Zhu
R. M. Moraes
Serkan Karakulak
Vlad Sobol
A. Canziani
Yann LeCun
SSL
17
22
0
21 Jun 2022
C-SENN: Contrastive Self-Explaining Neural Network
C-SENN: Contrastive Self-Explaining Neural Network
Yoshihide Sawada
Keigo Nakamura
SSL
13
8
0
20 Jun 2022
Bag of Image Patch Embedding Behind the Success of Self-Supervised
  Learning
Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning
Yubei Chen
Adrien Bardes
Zengyi Li
Yann LeCun
SSL
AIFin
30
7
0
17 Jun 2022
OmniMAE: Single Model Masked Pretraining on Images and Videos
OmniMAE: Single Model Masked Pretraining on Images and Videos
Rohit Girdhar
Alaaeldin El-Nouby
Mannat Singh
Kalyan Vasudev Alwala
Armand Joulin
Ishan Misra
ViT
35
97
0
16 Jun 2022
Masked Siamese ConvNets
Masked Siamese ConvNets
L. Jing
Jiachen Zhu
Yann LeCun
SSL
35
34
0
15 Jun 2022
Learning Task-Independent Game State Representations from Unlabeled
  Images
Learning Task-Independent Game State Representations from Unlabeled Images
C. Trivedi
Konstantinos Makantasis
Antonios Liapis
Georgios N. Yannakakis
SSL
14
6
0
13 Jun 2022
Self-Supervised Representation Learning With MUlti-Segmental
  Informational Coding (MUSIC)
Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC)
Chuang Niu
Ge Wang
SSL
20
6
0
13 Jun 2022
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual
  Correspondence
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence
Mohammed Alloulah
Maximilian Arnold
SSL
21
2
0
13 Jun 2022
SERE: Exploring Feature Self-relation for Self-supervised Transformer
SERE: Exploring Feature Self-relation for Self-supervised Transformer
Zhong-Yu Li
Shanghua Gao
Ming-Ming Cheng
ViT
MDE
26
14
0
10 Jun 2022
Spatial Entropy as an Inductive Bias for Vision Transformers
Spatial Entropy as an Inductive Bias for Vision Transformers
E. Peruzzo
E. Sangineto
Yahui Liu
Marco De Nadai
Wei Bi
Bruno Lepri
N. Sebe
ViT
MDE
31
1
0
09 Jun 2022
Local Spatiotemporal Representation Learning for
  Longitudinally-consistent Neuroimage Analysis
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Mengwei Ren
Neel Dey
Martin Styner
K. Botteron
Guido Gerig
19
18
0
09 Jun 2022
Extending Momentum Contrast with Cross Similarity Consistency
  Regularization
Extending Momentum Contrast with Cross Similarity Consistency Regularization
M. Seyfi
Amin Banitalebi-Dehkordi
Yong Zhang
SSL
36
11
0
07 Jun 2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Bin Zhang
Dapeng Li
Zeren Zhang
Guangchong Zhou
Hao Chen
Guoliang Fan
16
14
0
06 Jun 2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning
  on Multimodal and Temporal Data
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Shohreh Deldari
Hao Xue
Aaqib Saeed
Jiayuan He
Daniel V. Smith
Flora D. Salim
AI4TS
25
37
0
06 Jun 2022
M2FNet: Multi-modal Fusion Network for Emotion Recognition in
  Conversation
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation
Vishal M. Chudasama
P. Kar
Ashish Gudmalwar
Nirmesh J. Shah
Pankaj Wasnik
N. Onoe
11
109
0
05 Jun 2022
Toward a realistic model of speech processing in the brain with
  self-supervised learning
Toward a realistic model of speech processing in the brain with self-supervised learning
Juliette Millet
Charlotte Caucheteux
Pierre Orhan
Yves Boubenec
Alexandre Gramfort
Ewan Dunbar
Christophe Pallier
J. King
28
93
0
03 Jun 2022
On the duality between contrastive and non-contrastive self-supervised
  learning
On the duality between contrastive and non-contrastive self-supervised learning
Q. Garrido
Yubei Chen
Adrien Bardes
Laurent Najman
Yann LeCun
SSL
20
88
0
03 Jun 2022
Siamese Image Modeling for Self-Supervised Vision Representation
  Learning
Siamese Image Modeling for Self-Supervised Vision Representation Learning
Chenxin Tao
Xizhou Zhu
Weijie Su
Gao Huang
Bin Li
Jie Zhou
Yu Qiao
Xiaogang Wang
Jifeng Dai
SSL
37
94
0
02 Jun 2022
Contrasting quadratic assignments for set-based representation learning
Contrasting quadratic assignments for set-based representation learning
A. Moskalev
Ivan Sosnovik
Volker Fischer
A. Smeulders
SSL
32
9
0
31 May 2022
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry
L. Chauvin
W. Wells
Matthew Toews
6
1
0
30 May 2022
GMML is All you Need
GMML is All you Need
Sara Atito
Muhammad Awais
J. Kittler
ViT
VLM
44
18
0
30 May 2022
CyCLIP: Cyclic Contrastive Language-Image Pretraining
CyCLIP: Cyclic Contrastive Language-Image Pretraining
Shashank Goel
Hritik Bansal
S. Bhatia
Ryan A. Rossi
Vishwa Vinay
Aditya Grover
CLIP
VLM
173
132
0
28 May 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global
  and Local Spectral Embedding Methods
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero
Yann LeCun
SSL
18
129
0
23 May 2022
Combining Contrastive and Supervised Learning for Video Super-Resolution
  Detection
Combining Contrastive and Supervised Learning for Video Super-Resolution Detection
Viacheslav Meshchaninov
Ivan Molodetskikh
D. Vatolin
12
0
0
20 May 2022
Toward a Geometrical Understanding of Self-supervised Contrastive
  Learning
Toward a Geometrical Understanding of Self-supervised Contrastive Learning
Romain Cosentino
Anirvan M. Sengupta
Salman Avestimehr
Mahdi Soltanolkotabi
Antonio Ortega
Ted Willke
Mariano Tepper
SSL
37
17
0
13 May 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised
  Learning
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen
Yuanzhi Li
SSL
27
34
0
12 May 2022
An Empirical Study Of Self-supervised Learning Approaches For Object
  Detection With Transformers
An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers
Gokul Karthik Kumar
Sahal Shaji Mullappilly
Abhishek Singh Gehlot
ViT
23
1
0
11 May 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
28
311
0
14 Apr 2022
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance
  Evaluated on Non-stationary Seismic Signal Time Series
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series
Daesoo Lee
Erlend Aune
N. Langet
J. Eidsvik
15
0
0
06 Apr 2022
Simplicial Embeddings in Self-Supervised Learning and Downstream
  Classification
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
Samuel Lavoie
Christos Tsirigotis
Max Schwarzer
Ankit Vani
Michael Noukhovitch
Kenji Kawaguchi
Aaron C. Courville
SSL
24
17
0
01 Apr 2022
On the Importance of Asymmetry for Siamese Representation Learning
On the Importance of Asymmetry for Siamese Representation Learning
Xiao Wang
Haoqi Fan
Yuandong Tian
Daisuke Kihara
Xinlei Chen
SSL
24
51
0
01 Apr 2022
Self-distillation Augmented Masked Autoencoders for Histopathological
  Image Classification
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification
Yang Luo
Zhineng Chen
Shengtian Zhou
Xieping Gao
25
1
0
31 Mar 2022
Dual Temperature Helps Contrastive Learning Without Many Negative
  Samples: Towards Understanding and Simplifying MoCo
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang
Kang Zhang
T. Pham
Axi Niu
Zhinan Qiao
Chang-Dong Yoo
In So Kweon
22
54
0
30 Mar 2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified
  Understanding with Self-supervised Contrastive Learning
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
T. Pham
Chang-Dong Yoo
In So Kweon
SSL
29
71
0
30 Mar 2022
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
Xiaotong Li
Yixiao Ge
Kun Yi
Zixuan Hu
Ying Shan
Ling-yu Duan
37
38
0
29 Mar 2022
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