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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
Combining Contrastive Learning and Knowledge Graph Embeddings to develop
  medical word embeddings for the Italian language
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language
Denys Amore Bondarenko
Roger Ferrod
Luigi Di Caro
21
1
0
09 Nov 2022
Soft Augmentation for Image Classification
Soft Augmentation for Image Classification
Yang Liu
Shen Yan
Laura Leal-Taixé
James Hays
Deva Ramanan
36
11
0
09 Nov 2022
On minimal variations for unsupervised representation learning
On minimal variations for unsupervised representation learning
Vivien A. Cabannes
A. Bietti
Randall Balestriero
SSL
DRL
33
8
0
07 Nov 2022
Understanding the properties and limitations of contrastive learning for
  Out-of-Distribution detection
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection
Nawid Keshtmand
Raúl Santos-Rodríguez
J. Lawry
SSL
16
1
0
06 Nov 2022
Distilling Representations from GAN Generator via Squeeze and Span
Distilling Representations from GAN Generator via Squeeze and Span
Yu Yang
Xiaotian Cheng
Chang-rui Liu
Hakan Bilen
Xiang Ji
GAN
33
0
0
06 Nov 2022
Local Manifold Augmentation for Multiview Semantic Consistency
Local Manifold Augmentation for Multiview Semantic Consistency
Yu Yang
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
41
1
0
05 Nov 2022
Unsupervised Visual Representation Learning via Mutual Information
  Regularized Assignment
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment
Dong Lee
Sung-Ik Choi
Hyunwoo J. Kim
Sae-Young Chung
SSL
37
7
0
04 Nov 2022
RegCLR: A Self-Supervised Framework for Tabular Representation Learning
  in the Wild
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild
Weiyao Wang
Byung-Hak Kim
Varun Ganapathi
SSL
LMTD
27
1
0
02 Nov 2022
Beyond Instance Discrimination: Relation-aware Contrastive
  Self-supervised Learning
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Yifei Zhang
Chang-rui Liu
Yu Zhou
Weiping Wang
QiXiang Ye
Xiangyang Ji
SSL
ISeg
BDL
26
6
0
02 Nov 2022
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer
  Detection in High Frequency Ultrasound
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound
P. Wilson
Mahdi Gilany
A. Jamzad
Fahimeh Fooladgar
Minh-Son To
Brian Wodlinger
Purang Abolmaesumi
P. Mousavi
42
12
0
01 Nov 2022
Augmentation Invariant Manifold Learning
Augmentation Invariant Manifold Learning
Shulei Wang
45
1
0
01 Nov 2022
Pixel-Wise Contrastive Distillation
Pixel-Wise Contrastive Distillation
Junqiang Huang
Zichao Guo
44
4
0
01 Nov 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
Jialin Mao
Itay Griniasty
Rubing Yang
H. Teoh
Mark K. Transtrum
James P. Sethna
Pratik Chaudhari
SSL
DRL
36
5
0
31 Oct 2022
Unsupervised Learning of Structured Representations via Closed-Loop
  Transcription
Unsupervised Learning of Structured Representations via Closed-Loop Transcription
Shengbang Tong
Xili Dai
Yubei Chen
Mingyang Li
Zengyi Li
Brent Yi
Yann LeCun
Yi Ma
SSL
DRL
29
7
0
30 Oct 2022
Saliency Can Be All You Need In Contrastive Self-Supervised Learning
Saliency Can Be All You Need In Contrastive Self-Supervised Learning
Veysel Kocaman
O. M. Shir
Thomas Bäck
A. Belbachir
24
1
0
30 Oct 2022
ISG: I can See Your Gene Expression
ISG: I can See Your Gene Expression
Yan Yang
Liyuan Pan
Liu Liu
Eric A. Stone
VLM
31
1
0
30 Oct 2022
FUSSL: Fuzzy Uncertain Self Supervised Learning
FUSSL: Fuzzy Uncertain Self Supervised Learning
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
26
6
0
28 Oct 2022
Do Pre-trained Models Benefit Equally in Continual Learning?
Do Pre-trained Models Benefit Equally in Continual Learning?
Kuan-Ying Lee
Yuanyi Zhong
Yu-xiong Wang
CLL
32
28
0
27 Oct 2022
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised
  Medical Image Segmentation
IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation
Hritam Basak
Soumitri Chattopadhyay
Rohit Kundu
Sayan Nag
R. Mallipeddi
SSL
14
8
0
26 Oct 2022
Is Multi-Task Learning an Upper Bound for Continual Learning?
Is Multi-Task Learning an Upper Bound for Continual Learning?
Zihao Wu
Huy Tran
Hamed Pirsiavash
Soheil Kolouri
SSL
CLL
28
4
0
26 Oct 2022
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive
  Learning of Transformers and Prompts
Bi-Link: Bridging Inductive Link Predictions from Text via Contrastive Learning of Transformers and Prompts
Bohua Peng
Shi Liang
Mobarakol Islam
25
1
0
26 Oct 2022
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework
  Property Prediction
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction
Zhonglin Cao
Rishikesh Magar
Yuyang Wang
A. Farimani
AI4CE
25
88
0
25 Oct 2022
The Curious Case of Benign Memorization
The Curious Case of Benign Memorization
Sotiris Anagnostidis
Gregor Bachmann
Lorenzo Noci
Thomas Hofmann
AAML
54
8
0
25 Oct 2022
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT
  Devices
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices
Oshan Jayawardena
Fariza Rashid
Suranga Seneviratne
24
0
0
24 Oct 2022
Neural Eigenfunctions Are Structured Representation Learners
Neural Eigenfunctions Are Structured Representation Learners
Zhijie Deng
Jiaxin Shi
Hao Zhang
Peng Cui
Cewu Lu
Jun Zhu
58
14
0
23 Oct 2022
Combining Contrastive and Non-Contrastive Losses for Fine-Tuning
  Pretrained Models in Speech Analysis
Combining Contrastive and Non-Contrastive Losses for Fine-Tuning Pretrained Models in Speech Analysis
Florian Lux
Ching-Yi Chen
Ngoc Thang Vu
23
1
0
21 Oct 2022
Query Semantic Reconstruction for Background in Few-Shot Segmentation
Query Semantic Reconstruction for Background in Few-Shot Segmentation
Haoyan Guan
Michael W. Spratling
29
3
0
21 Oct 2022
Twin Contrastive Learning for Online Clustering
Twin Contrastive Learning for Online Clustering
Yunfan Li
Mouxing Yang
Dezhong Peng
Taihao Li
Jian-Tao Huang
Xiaocui Peng
22
107
0
21 Oct 2022
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and
  Uncertainty-Spectrum Modeling
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling
Beiwen Tian
Liyi Luo
Hao Zhao
Guyue Zhou
27
23
0
20 Oct 2022
Self-Supervised Learning via Maximum Entropy Coding
Self-Supervised Learning via Maximum Entropy Coding
Xin Liu
Zhongdao Wang
Yali Li
Shengjin Wang
SSL
39
40
0
20 Oct 2022
MixMask: Revisiting Masking Strategy for Siamese ConvNets
MixMask: Revisiting Masking Strategy for Siamese ConvNets
Kirill Vishniakov
Eric P. Xing
Zhiqiang Shen
18
0
0
20 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
38
118
0
20 Oct 2022
Enhancing Out-of-Distribution Detection in Natural Language
  Understanding via Implicit Layer Ensemble
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble
Hyunsoo Cho
Choonghyun Park
Jaewoo Kang
Kang Min Yoo
Taeuk Kim
Sang-goo Lee
OODD
30
8
0
20 Oct 2022
Towards Sustainable Self-supervised Learning
Towards Sustainable Self-supervised Learning
Shanghua Gao
Pan Zhou
Mingg-Ming Cheng
Shuicheng Yan
CLL
53
7
0
20 Oct 2022
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
AugCSE: Contrastive Sentence Embedding with Diverse Augmentations
Zilu Tang
Muhammed Yusuf Kocyigit
Derry Wijaya
37
9
0
20 Oct 2022
Learning Transferable Adversarial Robust Representations via Multi-view
  Consistency
Learning Transferable Adversarial Robust Representations via Multi-view Consistency
Minseon Kim
Hyeonjeong Ha
Dong Bok Lee
Sung Ju Hwang
30
0
0
19 Oct 2022
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Minseon Kim
Hyeonjeong Ha
Sooel Son
Sung Ju Hwang
AAML
39
3
0
19 Oct 2022
Rethinking Prototypical Contrastive Learning through Alignment,
  Uniformity and Correlation
Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation
Shentong Mo
Zhun Sun
Chao Li
15
11
0
18 Oct 2022
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning
  Representation
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
Deng Cai
Xin Li
Jackie Chun-Sing Ho
Lidong Bing
W. Lam
23
6
0
18 Oct 2022
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining
  Material Classification
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification
Prakash Chandra Chhipa
Richa Upadhyay
Rajkumar Saini
Lars Lindqvist
R. Nordenskjöld
Seiichi Uchida
Marcus Liwicki
MDE
20
2
0
18 Oct 2022
Multiple Instance Learning via Iterative Self-Paced Supervised
  Contrastive Learning
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
Kangning Liu
Weicheng Zhu
Yiqiu Shen
Sheng Liu
N. Razavian
Krzysztof J. Geras
C. Fernandez‐Granda
SSL
28
25
0
17 Oct 2022
Non-Contrastive Learning Meets Language-Image Pre-Training
Non-Contrastive Learning Meets Language-Image Pre-Training
Jinghao Zhou
Li Dong
Zhe Gan
Lijuan Wang
Furu Wei
VLM
CLIP
25
26
0
17 Oct 2022
Self-Supervised Learning Through Efference Copies
Self-Supervised Learning Through Efference Copies
Franz Scherr
Qinghai Guo
Timoleon Moraitis
24
10
0
17 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision
  Transformers
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
33
1
0
16 Oct 2022
Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative
  Representations
Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations
Haifeng Li
Jun Cao
Jiawei Zhu
Qinyao Luo
Silu He
Xuying Wang
30
41
0
15 Oct 2022
How Mask Matters: Towards Theoretical Understandings of Masked
  Autoencoders
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
Qi Zhang
Yifei Wang
Yisen Wang
28
73
0
15 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated
  Learning
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning
Rui Ye
Zhenyang Ni
Chenxin Xu
Jianyu Wang
Siheng Chen
Yonina C. Eldar
FedML
34
31
0
14 Oct 2022
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
Srikrishna Jaganathan
Maximilian Kukla
Jian Wang
Karthik Shetty
Andreas Maier
3DPC
41
10
0
14 Oct 2022
Is synthetic data from generative models ready for image recognition?
Is synthetic data from generative models ready for image recognition?
Ruifei He
Shuyang Sun
Xin Yu
Chuhui Xue
Wenqing Zhang
Philip Torr
Song Bai
Xiaojuan Qi
55
288
0
14 Oct 2022
LEAVES: Learning Views for Time-Series Data in Contrastive Learning
LEAVES: Learning Views for Time-Series Data in Contrastive Learning
Han Yu
Huiyuan Yang
Akane Sano
AI4TS
35
5
0
13 Oct 2022
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