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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
ArXivPDFHTML

Papers citing "Barlow Twins: Self-Supervised Learning via Redundancy Reduction"

50 / 1,364 papers shown
Title
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language
  Instruction Tuning for Semiconductor Electron Micrograph Analysis
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
43
0
0
27 Aug 2024
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant
  for Semiconductor Electron Micrograph Analysis
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
38
1
0
27 Aug 2024
Can Transformers Do Enumerative Geometry?
Can Transformers Do Enumerative Geometry?
Baran Hashemi
Roderic G. Corominas
Alessandro Giacchetto
39
2
0
27 Aug 2024
Extremely Fine-Grained Visual Classification over Resembling Glyphs in
  the Wild
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
F. Bougourzi
Fadi Dornaika
Chongsheng Zhang
32
0
0
25 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph
  Representation Learning with Foundational Large Language Models
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
35
0
0
24 Aug 2024
Preliminary Investigations of a Multi-Faceted Robust and Synergistic
  Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision
  Transformers with Large Language and Multimodal Models
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
29
0
0
24 Aug 2024
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
Zhenyu Zhang
Guangyao Chen
Yixiong Zou
Zhimeng Huang
Yuhua Li
Ruixuan Li
VLM
31
2
0
23 Aug 2024
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning
  Small-Scale Language-and-Vision Assistant for Enterprise Adoption
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
33
0
0
23 Aug 2024
A New Era in Computational Pathology: A Survey on Foundation and
  Vision-Language Models
A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models
Dibaloke Chanda
Milan Aryal
Nasim Yahya Soltani
Masoud Ganji
AI4CE
VLM
36
7
0
23 Aug 2024
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy
  Guidance
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
Chusheng Zeng
Bocheng Wang
Jinghui Yuan
Rong Wang
Mulin. Chen
26
0
0
22 Aug 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Sreeja Gangasani
Venkataramana Runkana
35
2
0
21 Aug 2024
EMCNet : Graph-Nets for Electron Micrographs Classification
EMCNet : Graph-Nets for Electron Micrographs Classification
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
32
0
0
21 Aug 2024
DisMix: Disentangling Mixtures of Musical Instruments for Source-level
  Pitch and Timbre Manipulation
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation
Yin-Jyun Luo
K. Cheuk
Woosung Choi
Toshimitsu Uesaka
Keisuke Toyama
...
Chieh-Hsin Lai
Yuhta Takida
Wei-Hsiang Liao
Simon Dixon
Yuki Mitsufuji
CoGe
49
2
0
20 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
76
0
0
20 Aug 2024
Leveraging Superfluous Information in Contrastive Representation
  Learning
Leveraging Superfluous Information in Contrastive Representation Learning
Xuechu Yu
SSL
24
1
0
19 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
Image-based Freeform Handwriting Authentication with Energy-oriented
  Self-Supervised Learning
Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning
Jingyao Wang
Luntian Mou
Changwen Zheng
Wen Gao
AAML
23
2
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
38
12
0
15 Aug 2024
The Clever Hans Effect in Unsupervised Learning
The Clever Hans Effect in Unsupervised Learning
Jacob R. Kauffmann
Jonas Dippel
Lukas Ruff
Wojciech Samek
Klaus-Robert Müller
G. Montavon
SSL
CML
HAI
34
1
0
15 Aug 2024
Whitening Consistently Improves Self-Supervised Learning
Whitening Consistently Improves Self-Supervised Learning
András Kalapos
Bálint Gyires-Tóth
SSL
39
0
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
Unsupervised Representation Learning by Balanced Self Attention Matching
Unsupervised Representation Learning by Balanced Self Attention Matching
Daniel Shalam
Simon Korman
SSL
33
0
0
04 Aug 2024
Image Clustering Algorithm Based on Self-Supervised Pretrained Models
  and Latent Feature Distribution Optimization
Image Clustering Algorithm Based on Self-Supervised Pretrained Models and Latent Feature Distribution Optimization
Qiuyu Zhu
Liheng Hu
Sijin Wang
SSL
VLM
19
1
0
04 Aug 2024
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification
Bryan Wong
MunYong Yi
Mun Yong Yi
VLM
50
0
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
29
0
01 Aug 2024
What comes after transformers? -- A selective survey connecting ideas in
  deep learning
What comes after transformers? -- A selective survey connecting ideas in deep learning
Johannes Schneider
AI4CE
35
2
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
Barlow Twins Deep Neural Network for Advanced 1D Drug-Target Interaction
  Prediction
Barlow Twins Deep Neural Network for Advanced 1D Drug-Target Interaction Prediction
Maximilian G. Schuh
Davide Boldini
Annkathrin I. Bohne
Stephan A. Sieber
28
0
0
31 Jul 2024
Dense Self-Supervised Learning for Medical Image Segmentation
Dense Self-Supervised Learning for Medical Image Segmentation
Maxime Seince
Loic Le Folgoc
Luiz Augusto Facury de Souza
Elsa Angelini
SSL
24
0
0
29 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
49
1
0
26 Jul 2024
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
Guogang Zhu
Xuefeng Liu
Jianwei Niu
Shaojie Tang
Xinghao Wu
Jiayuan Zhang
AI4CE
47
1
0
25 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
Predicting the Best of N Visual Trackers
Predicting the Best of N Visual Trackers
B. Alawode
S. Javed
Arif Mahmood
Jirí Matas
41
1
0
22 Jul 2024
Computer Audition: From Task-Specific Machine Learning to Foundation
  Models
Computer Audition: From Task-Specific Machine Learning to Foundation Models
Andreas Triantafyllopoulos
Iosif Tsangko
Alexander Gebhard
A. Mesaros
Tuomas Virtanen
Björn Schuller
45
4
0
22 Jul 2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled
  Perspective
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective
Zeen Song
Jingyao Wang
Jianqi Zhang
Changwen Zheng
Wenwen Qiang
SSL
58
0
0
19 Jul 2024
Are We Ready for Out-of-Distribution Detection in Digital Pathology?
Are We Ready for Out-of-Distribution Detection in Digital Pathology?
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
OODD
43
2
0
18 Jul 2024
Universal Facial Encoding of Codec Avatars from VR Headsets
Universal Facial Encoding of Codec Avatars from VR Headsets
Shaojie Bai
Tenia Wang
Chenghui Li
Akshay Venkatesh
Tomas Simon
...
Gabriel Schwartz
Ryan Wrench
Jason M. Saragih
Yaser Sheikh
S. Wei
3DH
22
6
0
17 Jul 2024
CDFL: Efficient Federated Human Activity Recognition using Contrastive
  Learning and Deep Clustering
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering
Ensieh Khazaei
Alireza Esmaeilzehi
Bilal Taha
Dimitrios Hatzinakos
FedML
22
1
0
17 Jul 2024
A Closer Look at Benchmarking Self-Supervised Pre-training with Image
  Classification
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification
Markus Marks
Manuel Knott
Neehar Kondapaneni
Elijah Cole
T. Defraeye
Fernando Pérez-Cruz
Pietro Perona
SSL
45
2
0
16 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
Distractors-Immune Representation Learning with Cross-modal Contrastive
  Regularization for Change Captioning
Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning
Yunbin Tu
Liang-Sheng Li
Li Su
Chenggang Yan
Qin Huang
37
5
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
29
0
0
15 Jul 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for
  Federated Semi-supervised Learning
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning
Marawan Elbatel
Hualiang Wang
Jixiang Chen
Hao Wang
Xiaomeng Li
FedML
55
0
0
14 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
35
1
0
14 Jul 2024
Exemplar-free Continual Representation Learning via Learnable Drift
  Compensation
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa
Dipam Goswami
Kai Wang
Andrew D. Bagdanov
Bartlomiej Twardowski
Joost van de Weijer
CLL
SSL
29
9
0
11 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
34
3
0
11 Jul 2024
TIP: Tabular-Image Pre-training for Multimodal Classification with
  Incomplete Data
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
Siyi Du
Shaoming Zheng
Yinsong Wang
Wenjia Bai
D. O’Regan
Chen Qin
LMTD
36
4
0
10 Jul 2024
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