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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 / 1,364 papers shown
Title
Improved Dual Correlation Reduction Network
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
26
22
0
25 Feb 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small
  Batch Does Not Harm Performance
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Zhuoning Yuan
Yuexin Wu
Zi-qi Qiu
Xianzhi Du
Lijun Zhang
Denny Zhou
Tianbao Yang
32
26
0
24 Feb 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised
  Learning
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Xihong Yang
Xiaochang Hu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
166
43
0
24 Feb 2022
Assessing the State of Self-Supervised Human Activity Recognition using
  Wearables
Assessing the State of Self-Supervised Human Activity Recognition using Wearables
H. Haresamudram
Irfan Essa
Thomas Plötz
SSL
39
85
0
22 Feb 2022
A Self-Supervised Descriptor for Image Copy Detection
A Self-Supervised Descriptor for Image Copy Detection
Ed Pizzi
Sreya . Dutta Roy
Sugosh Nagavara Ravindra
Priya Goyal
Matthijs Douze
SSL
34
116
0
21 Feb 2022
Transformation Coding: Simple Objectives for Equivariant Representations
Transformation Coding: Simple Objectives for Equivariant Representations
Mehran Shakerinava
A. Mondal
Siamak Ravanbakhsh
OffRL
25
0
0
19 Feb 2022
Improving Molecular Contrastive Learning via Faulty Negative Mitigation
  and Decomposed Fragment Contrast
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast
Yuyang Wang
Rishikesh Magar
Chen Liang
A. Farimani
43
78
0
18 Feb 2022
Towards better understanding and better generalization of few-shot
  classification in histology images with contrastive learning
Towards better understanding and better generalization of few-shot classification in histology images with contrastive learning
Jiawei Yang
Hanbo Chen
Jiangpeng Yan
Xiaoyu Chen
Jianhua Yao
VLM
33
21
0
18 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng Jiang
OOD
30
79
0
17 Feb 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLM
SSL
26
110
0
16 Feb 2022
Self-Supervised Representation Learning via Latent Graph Prediction
Self-Supervised Representation Learning via Latent Graph Prediction
Yaochen Xie
Zhao Xu
Shuiwang Ji
SSL
22
30
0
16 Feb 2022
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification
  From Analytical Augmented Sample Moments
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments
Randall Balestriero
Ishan Misra
Yann LeCun
27
20
0
16 Feb 2022
Planckian Jitter: countering the color-crippling effects of color jitter
  on self-supervised training
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training
Simone Zini
Alex Gomez-Villa
M. Buzzelli
Bartlomiej Twardowski
Andrew D. Bagdanov
Joost van de Weijer
21
13
0
16 Feb 2022
Orthogonalising gradients to speed up neural network optimisation
Orthogonalising gradients to speed up neural network optimisation
Mark Tuddenham
Adam Prugel-Bennett
Jonathan Hare
ODL
15
2
0
14 Feb 2022
Synthetic Data Can Also Teach: Synthesizing Effective Data for
  Unsupervised Visual Representation Learning
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning
Yawen Wu
Zhepeng Wang
Dewen Zeng
Yiyu Shi
Jingtong Hu
SSL
30
15
0
14 Feb 2022
Investigating Power laws in Deep Representation Learning
Investigating Power laws in Deep Representation Learning
Arna Ghosh
Arnab Kumar Mondal
Kumar Krishna Agrawal
Blake A. Richards
SSL
OOD
11
19
0
11 Feb 2022
Reduced order modeling for flow and transport problems with Barlow Twins
  self-supervised learning
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
T. Kadeethum
F. Ballarin
Daniel O’Malley
Youngsoo Choi
N. Bouklas
H. Yoon
AI4CE
21
17
0
11 Feb 2022
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
25
10
0
09 Feb 2022
Distillation with Contrast is All You Need for Self-Supervised Point
  Cloud Representation Learning
Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning
Kexue Fu
Peng Gao
Renrui Zhang
Hongsheng Li
Yu Qiao
Manning Wang
SSL
3DPC
20
23
0
09 Feb 2022
Results and findings of the 2021 Image Similarity Challenge
Results and findings of the 2021 Image Similarity Challenge
Zoe Papakipos
Giorgos Tolias
Tomás Jenícek
Ed Pizzi
Shuhei Yokoo
...
Sanjay V. Addicam
S. M. Papadakis
Cristian Canton Ferrer
Ondřej Chum
Matthijs Douze
13
12
0
08 Feb 2022
Simple Control Baselines for Evaluating Transfer Learning
Simple Control Baselines for Evaluating Transfer Learning
Andrei Atanov
Shijian Xu
Onur Beker
Andrei Filatov
Amir Zamir
SSL
31
1
0
07 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
45
385
0
07 Feb 2022
Boundary-aware Information Maximization for Self-supervised Medical
  Image Segmentation
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation
Jizong Peng
Ping Wang
M. Pedersoli
Christian Desrosiers
SSL
19
4
0
04 Feb 2022
When Do Flat Minima Optimizers Work?
When Do Flat Minima Optimizers Work?
Jean Kaddour
Linqing Liu
Ricardo M. A. Silva
Matt J. Kusner
ODL
18
58
0
01 Feb 2022
HCSC: Hierarchical Contrastive Selective Coding
HCSC: Hierarchical Contrastive Selective Coding
Yuanfan Guo
Minghao Xu
Jiawen Li
Bingbing Ni
Xuanyu Zhu
Zhenbang Sun
Yi Tian Xu
15
70
0
01 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity
  and Few-Shot Difficulty
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Jaehoon Oh
Sungnyun Kim
Namgyu Ho
Jin-Hwa Kim
Hwanjun Song
Se-Young Yun
22
34
0
01 Feb 2022
Adversarial Masking for Self-Supervised Learning
Adversarial Masking for Self-Supervised Learning
Yuge Shi
N. Siddharth
Philip H. S. Torr
Adam R. Kosiorek
SSL
56
82
0
31 Jan 2022
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Understanding Deep Contrastive Learning via Coordinate-wise Optimization
Yuandong Tian
52
34
0
29 Jan 2022
PCL: Peer-Contrastive Learning with Diverse Augmentations for
  Unsupervised Sentence Embeddings
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
Qiyu Wu
Chongyang Tao
Tao Shen
Can Xu
Xiubo Geng
Daxin Jiang
SSL
21
33
0
28 Jan 2022
Contrastive Embedding Distribution Refinement and Entropy-Aware
  Attention for 3D Point Cloud Classification
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification
Feng Yang
Yichao Cao
Qifan Xue
Shuai Jin
Xuanpeng Li
Weigong Zhang
3DPC
14
4
0
27 Jan 2022
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet
  Loss for Writer Independent Offline Signature Verification
SURDS: Self-Supervised Attention-guided Reconstruction and Dual Triplet Loss for Writer Independent Offline Signature Verification
Soumitri Chattopadhyay
Siladittya Manna
Saumik Bhattacharya
Umapada Pal
20
23
0
25 Jan 2022
Text and Code Embeddings by Contrastive Pre-Training
Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan
Tao Xu
Raul Puri
Alec Radford
Jesse Michael Han
...
Tabarak Khan
Toki Sherbakov
Joanne Jang
Peter Welinder
Lilian Weng
SSL
AI4TS
218
422
0
24 Jan 2022
Neural Manifold Clustering and Embedding
Neural Manifold Clustering and Embedding
Zengyi Li
Yubei Chen
Yann LeCun
Friedrich T. Sommer
DRL
22
41
0
24 Jan 2022
Nearest Class-Center Simplification through Intermediate Layers
Nearest Class-Center Simplification through Intermediate Layers
Ido Ben-Shaul
S. Dekel
40
26
0
21 Jan 2022
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery
  Detection
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
A. Haliassos
Rodrigo Mira
Stavros Petridis
M. Pantic
CVBM
32
126
0
18 Jan 2022
Video Transformers: A Survey
Video Transformers: A Survey
Javier Selva
A. S. Johansen
Sergio Escalera
Kamal Nasrollahi
T. Moeslund
Albert Clapés
ViT
22
103
0
16 Jan 2022
Robust Contrastive Learning against Noisy Views
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
13
68
0
12 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning
  Approach
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Hang Gao
Jiangmeng Li
Jingyao Wang
Hui Xiong
Gang Hua
Changwen Zheng
21
11
0
11 Jan 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
26
128
0
03 Jan 2022
Continually Learning Self-Supervised Representations with Projected
  Functional Regularization
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Alex Gomez-Villa
Bartlomiej Twardowski
Lu Yu
Andrew D. Bagdanov
Joost van de Weijer
CLL
SSL
20
36
0
30 Dec 2021
Deep Graph Clustering via Dual Correlation Reduction
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
11
201
0
29 Dec 2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
27
148
0
20 Dec 2021
Information-theoretic stochastic contrastive conditional GAN:
  InfoSCC-GAN
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
Vitaliy Kinakh
M. Drozdova
Guillaume Quétant
T. Golling
Slava Voloshynovskiy
GAN
14
0
0
17 Dec 2021
Watermarking Images in Self-Supervised Latent Spaces
Watermarking Images in Self-Supervised Latent Spaces
Pierre Fernandez
Alexandre Sablayrolles
Teddy Furon
Hervé Jégou
Matthijs Douze
WIGM
23
83
0
17 Dec 2021
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Katrina Evtimova
Yann LeCun
BDL
OffRL
18
9
0
16 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes
Randall Balestriero
Pascal Vincent
DiffM
25
61
0
16 Dec 2021
Rethinking Nearest Neighbors for Visual Classification
Rethinking Nearest Neighbors for Visual Classification
Menglin Jia
Bor-Chun Chen
Zuxuan Wu
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
SSL
41
10
0
15 Dec 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier
  Arbitration
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang
Jingyang Lin
Jingjing Zou
Yingwei Pan
Ting Yao
Tao Mei
OODD
29
12
0
15 Dec 2021
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for
  RGB-Infrared Person Re-Identification
Self-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification
Lin Wan
Qianyan Jing
Zongyuan Sun
Chuan Zhang
Zhihang Li
Yehansen Chen
SSL
17
5
0
12 Dec 2021
Tradeoffs Between Contrastive and Supervised Learning: An Empirical
  Study
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
A. Karthik
Mike Wu
Noah D. Goodman
Alex Tamkin
SSL
32
5
0
10 Dec 2021
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