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Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

4 March 2021
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
    SSL
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Papers citing "Barlow Twins: Self-Supervised Learning via Redundancy Reduction"

50 / 1,370 papers shown
Title
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
52
47
0
13 Oct 2022
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning
  for Multi-Resolution Satellite Imagery
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery
Jules Bourcier
G. Dashyan
Jocelyn Chanussot
Alahari Karteek
SSL
24
4
0
13 Oct 2022
Microscopy is All You Need
Microscopy is All You Need
Sergei V. Kalinin
Rama K Vasudevan
Yongtao Liu
Ayana Ghosh
Kevin M. Roccapriore
M. Ziatdinov
28
0
0
12 Oct 2022
Motion Aware Self-Supervision for Generic Event Boundary Detection
Motion Aware Self-Supervision for Generic Event Boundary Detection
Ayush K. Rai
Tarun Krishna
J. Dietlmeier
Kevin McGuinness
Alan F. Smeaton
Noel E. O'Connor
34
2
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
The good, the bad and the ugly sides of data augmentation: An implicit
  spectral regularization perspective
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
Chi-Heng Lin
Chiraag Kaushik
Eva L. Dyer
Vidya Muthukumar
31
28
0
10 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
32
21
0
09 Oct 2022
Robustness of Unsupervised Representation Learning without Labels
Robustness of Unsupervised Representation Learning without Labels
Aleksandar Petrov
Marta Z. Kwiatkowska
OffRL
58
2
0
08 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained
  Models
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
VLM
36
40
0
07 Oct 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
40
3
0
07 Oct 2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Jon Almazán
ByungSoo Ko
Geonmo Gu
Diane Larlus
Yannis Kalantidis
ObjD
VLM
41
7
0
05 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
68
73
0
05 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task
  Generalization
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju
Tong Zhao
Qianlong Wen
Wenhao Yu
Neil Shah
Yanfang Ye
Chuxu Zhang
SSL
21
34
0
05 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X
GAPX: Generalized Autoregressive Paraphrase-Identification X
Yi Zhou
Renyu Li
Hayden Housen
Ser-Nam Lim
BDL
44
0
0
05 Oct 2022
Self-supervised Pre-training for Semantic Segmentation in an Indoor
  Scene
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene
Sulabh Shrestha
Yimeng Li
Jana Kosecka
3DPC
SSL
SSeg
49
2
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
19
120
0
04 Oct 2022
Masked Supervised Learning for Semantic Segmentation
Masked Supervised Learning for Semantic Segmentation
H. Zunair
A. Ben Hamza
24
6
0
03 Oct 2022
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer
  Data
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data
S. Hashim
Karthik Nandakumar
Mohammad Yaqub
SyDa
21
4
0
03 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs
Spectral Augmentation for Self-Supervised Learning on Graphs
Lu Lin
Jinghui Chen
Hongning Wang
OOD
39
49
0
02 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
52
20
0
02 Oct 2022
Detecting Irregular Network Activity with Adversarial Learning and
  Expert Feedback
Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback
Gopikrishna Rathinavel
Nikhil Muralidhar
Tim O'Shea
Naren Ramakrishnan
AAML
28
1
0
01 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
38
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
Contrastive Corpus Attribution for Explaining Representations
Contrastive Corpus Attribution for Explaining Representations
Christy Lin
Hugh Chen
Chanwoo Kim
Su-In Lee
SSL
27
8
0
30 Sep 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
45
2
0
30 Sep 2022
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Yubei Chen
Zeyu Yun
Yi Ma
Bruno A. Olshausen
Yann LeCun
54
8
0
30 Sep 2022
Self-Distillation for Further Pre-training of Transformers
Self-Distillation for Further Pre-training of Transformers
Seanie Lee
Minki Kang
Juho Lee
Sung Ju Hwang
Kenji Kawaguchi
47
8
0
30 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
32
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
49
13
0
29 Sep 2022
EiHi Net: Out-of-Distribution Generalization Paradigm
EiHi Net: Out-of-Distribution Generalization Paradigm
Qinglai Wei
Beiming Yuan
Diancheng Chen
OOD
27
0
0
29 Sep 2022
Feature Decoupling in Self-supervised Representation Learning for Open
  Set Recognition
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition
Jingyun Jia
P. Chan
BDL
19
2
0
28 Sep 2022
Audio Barlow Twins: Self-Supervised Audio Representation Learning
Audio Barlow Twins: Self-Supervised Audio Representation Learning
Jonah Anton
H. Coppock
Pancham Shukla
Bjorn W. Schuller
BDL
SSL
43
8
0
28 Sep 2022
Non-contrastive representation learning for intervals from well logs
Non-contrastive representation learning for intervals from well logs
Alexander Marusov
Alexey Zaytsev
SSL
38
5
0
28 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
45
11
0
26 Sep 2022
CUTS: A Deep Learning and Topological Framework for Multigranular
  Unsupervised Medical Image Segmentation
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation
Chen Liu
Matthew Amodio
Liangbo L. Shen
Feng Gao
A. Avesta
Snegha A
Jay C. Wang
L. V. Priore
Smita Krishnaswamy
OOD
MedIm
33
13
0
23 Sep 2022
Efficient CNN with uncorrelated Bag of Features pooling
Efficient CNN with uncorrelated Bag of Features pooling
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
38
2
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
24
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
Cengiz Pehlevan
D. Chklovskii
25
11
0
21 Sep 2022
A Simple and Powerful Global Optimization for Unsupervised Video Object
  Segmentation
A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
Georgy Ponimatkin
Nermin Samet
Yanghua Xiao
Yuming Du
Renaud Marlet
Vincent Lepetit
VOS
74
20
0
19 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
56
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
24
35
0
16 Sep 2022
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
Jiangmeng Li
Wenwen Qiang
Yanan Zhang
Wenyi Mo
Changwen Zheng
Bing-Huang Su
Hui Xiong
SSL
34
14
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
83
41
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
27
2
0
13 Sep 2022
Learning Dense Visual Descriptors using Image Augmentations for Robot
  Manipulation Tasks
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation Tasks
Christian Graf
David B. Adrian
Joshua Weil
Miroslav Gabriel
Philipp Schillinger
Markus Spies
Heiko Neumann
A. Kupcsik
SSL
38
6
0
12 Sep 2022
Measuring the Interpretability of Unsupervised Representations via
  Quantized Reverse Probing
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing
Iro Laina
Yuki M. Asano
Andrea Vedaldi
SSL
21
8
0
07 Sep 2022
Robust and Efficient Imbalanced Positive-Unlabeled Learning with
  Self-supervision
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision
Emilio Dorigatti
Jonas Schweisthal
Bernd Bischl
Mina Rezaei
OOD
24
2
0
06 Sep 2022
Multimodal contrastive learning for remote sensing tasks
Multimodal contrastive learning for remote sensing tasks
Umang Jain
Alex Wilson
Varun Gulshan
SSL
41
24
0
06 Sep 2022
Equivariant Self-Supervision for Musical Tempo Estimation
Equivariant Self-Supervision for Musical Tempo Estimation
Elio Quinton
37
9
0
03 Sep 2022
A Novel Self-Knowledge Distillation Approach with Siamese Representation
  Learning for Action Recognition
A Novel Self-Knowledge Distillation Approach with Siamese Representation Learning for Action Recognition
Duc-Quang Vu
T. Phung
Jia-Ching Wang
27
9
0
03 Sep 2022
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