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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
Natural Attribute-based Shift Detection
Natural Attribute-based Shift Detection
Jeonghoon Park
Jimin Hong
Radhika Dua
Daehoon Gwak
Yixuan Li
Jaegul Choo
E. Choi
OOD
25
3
0
18 Oct 2021
DECAR: Deep Clustering for learning general-purpose Audio
  Representations
DECAR: Deep Clustering for learning general-purpose Audio Representations
Sreyan Ghosh
Sandesh V Katta
Ashish Seth
S. Umesh
SSL
34
12
0
17 Oct 2021
Unsupervised Representation Learning for Binary Networks by Joint
  Classifier Learning
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
Dahyun Kim
Jonghyun Choi
SSL
MQ
22
5
0
17 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
55
16
0
14 Oct 2021
Representational Continuity for Unsupervised Continual Learning
Representational Continuity for Unsupervised Continual Learning
Divyam Madaan
Jaehong Yoon
Yuanchun Li
Yunxin Liu
Sung Ju Hwang
CLL
SSL
66
111
0
13 Oct 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
178
182
0
13 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring
Rethinking Supervised Pre-training for Better Downstream Transferring
Yutong Feng
Jianwen Jiang
Mingqian Tang
R. L. Jin
Yue Gao
SSL
43
39
0
12 Oct 2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual
  Representation Learning
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Chongjian Ge
Youwei Liang
Yibing Song
Jianbo Jiao
Jue Wang
Ping Luo
ViT
18
36
0
11 Oct 2021
Towards Demystifying Representation Learning with Non-contrastive
  Self-supervision
Towards Demystifying Representation Learning with Non-contrastive Self-supervision
Xiang Wang
Xinlei Chen
S. Du
Yuandong Tian
SSL
16
26
0
11 Oct 2021
Temperature as Uncertainty in Contrastive Learning
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang
Mike Wu
Jasmine Bayrooti
Noah D. Goodman
UQCV
12
30
0
08 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk
Dominique Beaini
Gabriele Corso
Prudencio Tossou
Christian Dallago
Stephan Günnemann
Pietro Lió
AI4CE
27
203
0
08 Oct 2021
Using Contrastive Learning and Pseudolabels to learn representations for
  Retail Product Image Classification
Using Contrastive Learning and Pseudolabels to learn representations for Retail Product Image Classification
Muktabh Mayank Srivastava
NoLa
SSL
25
1
0
07 Oct 2021
Census-Independent Population Estimation using Representation Learning
Census-Independent Population Estimation using Representation Learning
Isaac Neal
S. Seth
Gary R. Watmough
M. Diallo
AI4TS
14
13
0
06 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
17
3
0
04 Oct 2021
Stochastic Contrastive Learning
Stochastic Contrastive Learning
Jason Ramapuram
Dan Busbridge
Xavier Suau
Russ Webb
BDL
SSL
44
3
0
01 Oct 2021
Evaluating the fairness of fine-tuning strategies in self-supervised
  learning
Evaluating the fairness of fine-tuning strategies in self-supervised learning
Jason Ramapuram
Dan Busbridge
Russ Webb
19
6
0
01 Oct 2021
Do Self-Supervised and Supervised Methods Learn Similar Visual
  Representations?
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
Tom George Grigg
Dan Busbridge
Jason Ramapuram
Russ Webb
SSL
DRL
19
27
0
01 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang-Cuong Pham
Chenghao Liu
S. Hoi
CLL
71
42
0
01 Oct 2021
SpliceOut: A Simple and Efficient Audio Augmentation Method
SpliceOut: A Simple and Efficient Audio Augmentation Method
Arjit Jain
Pranay Reddy Samala
Deepak Mittal
P. Jyothi
M. Singh
23
10
0
30 Sep 2021
Biologically Plausible Training Mechanisms for Self-Supervised Learning
  in Deep Networks
Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks
Mufeng Tang
Yibo Yang
Y. Amit
SSL
11
7
0
30 Sep 2021
Deep Neural Compression Via Concurrent Pruning and Self-Distillation
Deep Neural Compression Via Concurrent Pruning and Self-Distillation
J. Ó. Neill
Sourav Dutta
H. Assem
VLM
8
5
0
30 Sep 2021
Towards Communication-Efficient and Privacy-Preserving Federated
  Representation Learning
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning
Haizhou Shi
Youcai Zhang
Zijin Shen
Siliang Tang
Yaqian Li
Yandong Guo
Y. Zhuang
16
6
0
29 Sep 2021
Compressive Visual Representations
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
62
48
0
27 Sep 2021
Cluster Analysis with Deep Embeddings and Contrastive Learning
Cluster Analysis with Deep Embeddings and Contrastive Learning
Ramakrishnan Sundareswaran
Jansel Herrera-Gerena
John Just
Ali Janessari
SSL
DRL
25
4
0
26 Sep 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View
  Generators
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin
Qingzhong Wang
Siyu Huang
Haoyi Xiong
Xiang Zhang
47
143
0
21 Sep 2021
A Study of the Generalizability of Self-Supervised Representations
A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle
Mohammad Rashedul Hasan
73
26
0
19 Sep 2021
Self-Supervised Neural Architecture Search for Imbalanced Datasets
Self-Supervised Neural Architecture Search for Imbalanced Datasets
A. Timofeev
Grigorios G. Chrysos
V. Cevher
OOD
25
5
0
17 Sep 2021
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck
Liyi Luo
Beiwen Tian
Hao Zhao
Guyue Zhou
3DPC
19
9
0
17 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual
  Representations
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
44
16
0
15 Sep 2021
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism
  Detection
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection
N. Islam
S. Gehlot
Zongwei Zhou
Michael B. Gotway
Jianming Liang
OOD
77
11
0
15 Sep 2021
Learning cortical representations through perturbed and adversarial
  dreaming
Learning cortical representations through perturbed and adversarial dreaming
Nicolas Deperrois
Mihai A. Petrovici
Walter Senn
Jakob Jordan
GAN
CLL
50
21
0
09 Sep 2021
Training Deep Networks from Zero to Hero: avoiding pitfalls and going
  beyond
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond
M. Ponti
Fernando Pereira dos Santos
Leo Sampaio Ferraz Ribeiro
G. B. Cavallari
19
15
0
06 Sep 2021
An Empirical Study of Graph Contrastive Learning
An Empirical Study of Graph Contrastive Learning
Yanqiao Zhu
Yichen Xu
Qiang Liu
Shu Wu
11
167
0
02 Sep 2021
On-target Adaptation
On-target Adaptation
Dequan Wang
Shaoteng Liu
Sayna Ebrahimi
Evan Shelhamer
Trevor Darrell
TTA
26
19
0
02 Sep 2021
Computer Vision Self-supervised Learning Methods on Time Series
Computer Vision Self-supervised Learning Methods on Time Series
Daesoo Lee
Technology
AI4TS
31
4
0
02 Sep 2021
Self-supervised Point Cloud Representation Learning via Separating Mixed
  Shapes
Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes
Chao Sun
Zhedong Zheng
Xiaohan Wang
Mingliang Xu
Yi Yang
3DPC
SSL
19
24
0
01 Sep 2021
Learning Disentangled Representations in the Imaging Domain
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
DRL
24
71
0
26 Aug 2021
Reducing Label Effort: Self-Supervised meets Active Learning
Reducing Label Effort: Self-Supervised meets Active Learning
Javad Zolfaghari Bengar
Joost van de Weijer
Bartlomiej Twardowski
Bogdan Raducanu
VLM
16
60
0
25 Aug 2021
Learning From Long-Tailed Data With Noisy Labels
Learning From Long-Tailed Data With Noisy Labels
Shyamgopal Karthik
Jérôme Revaud
Boris Chidlovskii
SSL
NoLa
11
27
0
25 Aug 2021
Jointly Learnable Data Augmentations for Self-Supervised GNNs
Jointly Learnable Data Augmentations for Self-Supervised GNNs
Zekarias T. Kefato
Sarunas Girdzijauskas
Hannes Stärk
SSL
25
4
0
23 Aug 2021
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph
  Convolutional Networks
RRLFSOR: An Efficient Self-Supervised Learning Strategy of Graph Convolutional Networks
Feng Sun
Ajith Kumar
Guanci Yang
Qikui Zhu
Yiyun Zhang
Ansi Zhang
Dhruv Makwana
SSL
GNN
30
0
0
17 Aug 2021
A Systematic Benchmarking Analysis of Transfer Learning for Medical
  Image Analysis
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis
M. Taher
F. Haghighi
Ruibin Feng
Michael B. Gotway
Jianming Liang
23
67
0
12 Aug 2021
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose
  Estimation?
How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?
Mahdi Pourmirzaei
Farzaneh Esmaili
G. Montazer
Sasan Karamizadeh
Seyedehsamaneh Shojaeilangari
27
0
0
10 Aug 2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Yu Wang
Jingyang Lin
Qi Cai
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
SSL
24
16
0
05 Aug 2021
Semi-weakly Supervised Contrastive Representation Learning for Retinal
  Fundus Images
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images
Boon Peng Yap
B. Ng
SSL
25
3
0
04 Aug 2021
On the Efficacy of Small Self-Supervised Contrastive Models without
  Distillation Signals
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
Haizhou Shi
Youcai Zhang
Siliang Tang
Wenjie Zhu
Yaqian Li
Yandong Guo
Yueting Zhuang
SyDa
21
14
0
30 Jul 2021
AASAE: Augmentation-Augmented Stochastic Autoencoders
AASAE: Augmentation-Augmented Stochastic Autoencoders
William Falcon
A. Jha
Teddy Koker
Kyunghyun Cho
13
0
0
26 Jul 2021
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
Wenbin Li
Xuesong Yang
Meihao Kong
Lei Wang
Jing Huo
Yang Gao
Jiebo Luo
11
0
0
22 Jul 2021
Leveraging Domain Adaptation for Low-Resource Geospatial Machine
  Learning
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning
Jack Lynch
S. Wookey
11
1
0
11 Jul 2021
"Are you sure?": Preliminary Insights from Scaling Product Comparisons
  to Multiple Shops
"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops
P. Chia
Bingqing Yu
Jacopo Tagliabue
15
5
0
07 Jul 2021
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