ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.04906
  4. Cited By
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
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Han Wang
Yixuan Li
CML
29
0
0
26 Sep 2024
CROSS-GAiT: Cross-Attention-Based Multimodal Representation Fusion for
  Parametric Gait Adaptation in Complex Terrains
CROSS-GAiT: Cross-Attention-Based Multimodal Representation Fusion for Parametric Gait Adaptation in Complex Terrains
Gershom Seneviratne
K. Weerakoon
Mohamed Bashir Elnoor
Vignesh Rajgopal
Harshavarthan Varatharajan
Mohamed Khalid M Jaffar
Jason Pusey
Dinesh Manocha
CVBM
29
0
0
25 Sep 2024
Face Forgery Detection with Elaborate Backbone
Face Forgery Detection with Elaborate Backbone
Zonghui Guo
Y. Liu
Jie Zhang
Haiyong Zheng
Shiguang Shan
AAML
CVBM
23
1
0
25 Sep 2024
Hierarchical end-to-end autonomous navigation through few-shot waypoint
  detection
Hierarchical end-to-end autonomous navigation through few-shot waypoint detection
A. Ghafourian
Zhongying CuiZhu
Debo Shi
Ian Chuang
François Charette
Rithik Sachdeva
Iman Soltani
27
1
0
23 Sep 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
Zichen Jeff Cui
Hengkai Pan
Aadhithya Iyer
Siddhant Haldar
Lerrel Pinto
VGen
24
10
0
18 Sep 2024
Context-Aware Predictive Coding: A Representation Learning Framework for
  WiFi Sensing
Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing
B. Barahimi
Hina Tabassum
M. Omer
Omer Waqar
SSL
21
0
0
16 Sep 2024
Exploring Action-Centric Representations Through the Lens of
  Rate-Distortion Theory
Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory
Miguel de Llanza Varona
Christopher L. Buckley
Beren Millidge
18
0
0
13 Sep 2024
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised
  Defense
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
Jeremy A. Styborski
Mingzhi Lyu
Y. Huang
Adams Kong
32
0
0
13 Sep 2024
Explicit Mutual Information Maximization for Self-Supervised Learning
Explicit Mutual Information Maximization for Self-Supervised Learning
Lele Chang
Peilin Liu
Qinghai Guo
Fei Wen
SSL
19
0
0
07 Sep 2024
CrysAtom: Distributed Representation of Atoms for Crystal Property
  Prediction
CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction
Shrimon Mukherjee
Madhusudan Ghosh
Partha Basuchowdhuri
32
0
0
07 Sep 2024
EEG-Language Modeling for Pathology Detection
EEG-Language Modeling for Pathology Detection
Sam Gijsen
Kerstin Ritter
39
0
0
02 Sep 2024
Image-to-Lidar Relational Distillation for Autonomous Driving Data
Image-to-Lidar Relational Distillation for Autonomous Driving Data
Anas Mahmoud
Ali Harakeh
Steven Waslander
21
0
0
01 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
M. Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
43
3
0
30 Aug 2024
Blending Low and High-Level Semantics of Time Series for Better Masked
  Time Series Generation
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation
Johan Vik Mathisen
Erlend Lokna
Daesoo Lee
Erlend Aune
BDL
AI4TS
19
0
0
29 Aug 2024
PooDLe: Pooled and dense self-supervised learning from naturalistic videos
PooDLe: Pooled and dense self-supervised learning from naturalistic videos
Alex N. Wang
Christopher Hoang
Yuwen Xiong
Yann LeCun
Mengye Ren
64
0
0
20 Aug 2024
Uniting contrastive and generative learning for event sequences models
Uniting contrastive and generative learning for event sequences models
Aleksandr Yugay
Alexey Zaytsev
AI4TS
32
1
0
19 Aug 2024
SpectralEarth: Training Hyperspectral Foundation Models at Scale
SpectralEarth: Training Hyperspectral Foundation Models at Scale
Nassim Ait Ali Braham
C. Albrecht
Julien Mairal
J. Chanussot
Yi Wang
X. Zhu
36
10
0
15 Aug 2024
Whitening Consistently Improves Self-Supervised Learning
Whitening Consistently Improves Self-Supervised Learning
András Kalapos
Bálint Gyires-Tóth
SSL
37
0
0
14 Aug 2024
CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture
CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture
András Kalapos
Bálint Gyires-Tóth
40
2
0
14 Aug 2024
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation
  Learning
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning
Azad Singh
Deepak Mishra
SSL
42
1
0
08 Aug 2024
Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem
  Compatibility Estimation
Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation
Alain Riou
Stefan Lattner
Gaëtan Hadjeres
Michael Anslow
Geoffroy Peeters
32
2
0
05 Aug 2024
POA: Pre-training Once for Models of All Sizes
POA: Pre-training Once for Models of All Sizes
Yingying Zhang
Xin Guo
Jiangwei Lao
Lei Yu
Lixiang Ru
Jian Wang
Guo Ye
Huimei He
Jingdong Chen
Ming Yang
60
1
0
02 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in
  Pathology
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Eric Zimmermann
Eugene Vorontsov
Julian Viret
Adam Casson
Michal Zelechowski
...
Razik Yousfi
Thomas J. Fuchs
Nicolò Fusi
Siqi Liu
Kristen Severson
MedIm
31
27
0
01 Aug 2024
Leveraging Self-Supervised Learning for Fetal Cardiac Planes
  Classification using Ultrasound Scan Videos
Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos
Joseph Geo Benjamin
Mothilal Asokan
Amna Alhosani
Hussain Alasmawi
Werner Gerhard Diehl
Leanne Bricker
Karthik Nandakumar
Mohammad Yaqub
32
0
0
31 Jul 2024
Self-Supervised Learning for Text Recognition: A Critical Survey
Self-Supervised Learning for Text Recognition: A Critical Survey
Carlos Peñarrubia
J. J. Valero-Mas
Jorge Calvo-Zaragoza
69
1
0
29 Jul 2024
A Survey on Cell Nuclei Instance Segmentation and Classification:
  Leveraging Context and Attention
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
João D. Nunes
D. Montezuma
Domingos Oliveira
Tania Pereira
Jaime S. Cardoso
47
1
0
26 Jul 2024
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Qing Su
Shihao Ji
24
0
0
24 Jul 2024
PEEKABOO: Hiding parts of an image for unsupervised object localization
PEEKABOO: Hiding parts of an image for unsupervised object localization
Hasib Zunair u
24 A.BenHamza
SSL
36
0
0
24 Jul 2024
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
A. Atienza
J. Bardram
S. Puthusserypady
BDL
AI4TS
33
2
0
24 Jul 2024
RealViformer: Investigating Attention for Real-World Video
  Super-Resolution
RealViformer: Investigating Attention for Real-World Video Super-Resolution
Yuehan Zhang
Angela Yao
SupR
26
2
0
19 Jul 2024
Missing Modality Prediction for Unpaired Multimodal Learning via Joint
  Embedding of Unimodal Models
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
Donggeun Kim
Taesup Kim
24
3
0
17 Jul 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual
  Self-Supervised Learning
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning
Erum Mushtaq
D. Yaldiz
Yavuz Faruk Bakman
Jie Ding
Chenyang Tao
Dimitrios Dimitriadis
A. Avestimehr
CLL
34
1
0
16 Jul 2024
Efficient Unsupervised Visual Representation Learning with Explicit
  Cluster Balancing
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing
Ioannis Maniadis Metaxas
Georgios Tzimiropoulos
Ioannis Patras
SSL
27
0
0
15 Jul 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label
  Backdoor Attacks
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
Quang H. Nguyen
Nguyen Ngoc-Hieu
The-Anh Ta
Thanh Nguyen-Tang
Kok-Seng Wong
Hoang Thanh-Tung
Khoa D. Doan
AAML
29
2
0
15 Jul 2024
A Self-Supervised Learning Pipeline for Demographically Fair Facial
  Attribute Classification
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
Sreeraj Ramachandran
A. Rattani
29
1
0
14 Jul 2024
CLOVER: Context-aware Long-term Object Viewpoint- and Environment-
  Invariant Representation Learning
CLOVER: Context-aware Long-term Object Viewpoint- and Environment- Invariant Representation Learning
Dongmyeong Lee
Amanda Adkins
Joydeep Biswas
40
0
0
12 Jul 2024
Paving the way toward foundation models for irregular and unaligned
  Satellite Image Time Series
Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series
Iris Dumeur
Silvia Valero
Jordi Inglada
32
3
0
11 Jul 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
An Zhang
Han Wang
Xiang Wang
Tat-Seng Chua
47
0
0
10 Jul 2024
Self-supervised visual learning from interactions with objects
Self-supervised visual learning from interactions with objects
A. Aubret
Céline Teulière
Jochen Triesch
55
5
0
09 Jul 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point
  Cloud Self-Supervised Learning
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning
Bin Ren
Guofeng Mei
D. Paudel
Weijie Wang
Yawei Li
Mengyuan Liu
Rita Cucchiara
Luc Van Gool
N. Sebe
3DPC
43
7
0
08 Jul 2024
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation
  Learning
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning
Saeed Shurrab
Alejandro Guerra-Manzanares
Farah E. Shamout
18
1
0
05 Jul 2024
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self
  Distillation Networks
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
Etai Littwin
Omid Saremi
Madhu Advani
Vimal Thilak
Preetum Nakkiran
Chen Huang
Joshua Susskind
37
3
0
03 Jul 2024
Funny-Valen-Tine: Planning Solution Distribution Enhances Machine
  Abstract Reasoning Ability
Funny-Valen-Tine: Planning Solution Distribution Enhances Machine Abstract Reasoning Ability
Ruizhuo Song
Beiming Yuan
OOD
26
0
0
02 Jul 2024
SemanticMIM: Marring Masked Image Modeling with Semantics Compression
  for General Visual Representation
SemanticMIM: Marring Masked Image Modeling with Semantics Compression for General Visual Representation
Yike Yuan
Huanzhang Dou
Fengjun Guo
Xi Li
31
2
0
15 Jun 2024
Towards an Improved Understanding and Utilization of Maximum Manifold
  Capacity Representations
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Rylan Schaeffer
Victor Lecomte
Dhruv Pai
Andres Carranza
Berivan Isik
...
Yann LeCun
SueYeon Chung
Andrey Gromov
Ravid Shwartz-Ziv
Sanmi Koyejo
41
5
0
13 Jun 2024
Strategies for Pretraining Neural Operators
Strategies for Pretraining Neural Operators
Anthony Y. Zhou
Cooper Lorsung
AmirPouya Hemmasian
Amir Barati Farimani
AI4CE
34
4
0
12 Jun 2024
SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix
  for Unsupervised Image Segmentation
SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation
Chanda Grover Kamra
Indra Deep Mastan
Nitin Kumar
Debayan Gupta
34
1
0
12 Jun 2024
Explaining Representation Learning with Perceptual Components
Explaining Representation Learning with Perceptual Components
Yavuz Yarici
Kiran Kokilepersaud
M. Prabhushankar
Ghassan AlRegib
SSL
FAtt
24
0
0
11 Jun 2024
Training Dynamics of Nonlinear Contrastive Learning Model in the High
  Dimensional Limit
Training Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limit
Lineghuan Meng
Chuang Wang
18
1
0
11 Jun 2024
Regularized Training with Generated Datasets for Name-Only Transfer of
  Vision-Language Models
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models
Minho Park
S. Park
Jooyeol Yun
Jaegul Choo
VLM
35
0
0
08 Jun 2024
Previous
12345...111213
Next