ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.03230
  4. Cited By
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 / 1,369 papers shown
Title
Self-Supervised Pretraining for 2D Medical Image Segmentation
Self-Supervised Pretraining for 2D Medical Image Segmentation
András Kalapos
Bálint Gyires-Tóth
17
31
0
01 Sep 2022
Self-Supervised Pyramid Representation Learning for Multi-Label Visual
  Analysis and Beyond
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond
Cheng-Yen Hsieh
Chih-Jung Chang
Fu-En Yang
Yu-Chiang Frank Wang
SSL
30
8
0
30 Aug 2022
MORI-RAN: Multi-view Robust Representation Learning via Hybrid
  Contrastive Fusion
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion
Guanzhou Ke
Yong-Nan Zhu
Yang Yu
37
7
0
26 Aug 2022
Light-weight probing of unsupervised representations for Reinforcement
  Learning
Light-weight probing of unsupervised representations for Reinforcement Learning
Wancong Zhang
Anthony GX-Chen
Vlad Sobal
Yann LeCun
Nicolas Carion
SSL
OffRL
41
13
0
25 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
113
0
24 Aug 2022
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge
Xiaofan Yu
Yunhui Guo
Sicun Gao
Tajana Simunic
CLL
SSL
36
15
0
24 Aug 2022
Test-time Training for Data-efficient UCDR
Test-time Training for Data-efficient UCDR
Soumava Paul
Titir Dutta
Aheli Saha
Abhishek Samanta
Soma Biswas
OOD
24
0
0
19 Aug 2022
Siamese Prototypical Contrastive Learning
Siamese Prototypical Contrastive Learning
Shentong Mo
Zhun Sun
Chao Li
SSL
27
12
0
18 Aug 2022
Matching Multiple Perspectives for Efficient Representation Learning
Matching Multiple Perspectives for Efficient Representation Learning
Omiros Pantazis
M. Salvaris
SSL
41
0
0
16 Aug 2022
Enhancing Graph Contrastive Learning with Node Similarity
Enhancing Graph Contrastive Learning with Node Similarity
Hongliang Chi
Yao Ma
SSL
39
3
0
13 Aug 2022
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
Kyungmin Lee
Jinwoo Shin
SSL
DRL
31
10
0
12 Aug 2022
Instance Image Retrieval by Learning Purely From Within the Dataset
Instance Image Retrieval by Learning Purely From Within the Dataset
Zhongyan Zhang
Lei Wang
Yang Wang
Luping Zhou
Jianjia Zhang
Peng Wang
Fangxiao Chen
SSL
18
0
0
12 Aug 2022
MILAN: Masked Image Pretraining on Language Assisted Representation
MILAN: Masked Image Pretraining on Language Assisted Representation
Zejiang Hou
Fei Sun
Yen-kuang Chen
Yuan Xie
S. Kung
ViT
34
68
0
11 Aug 2022
Differencing based Self-supervised pretraining for Scene Change
  Detection
Differencing based Self-supervised pretraining for Scene Change Detection
V. Ramkumar
Elahe Arani
Bahram Zonooz
18
3
0
11 Aug 2022
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual
  Representation Learning
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
T. Pham
Chaoning Zhang
Axi Niu
Kang Zhang
Chang D. Yoo
36
11
0
11 Aug 2022
Self-Knowledge Distillation via Dropout
Self-Knowledge Distillation via Dropout
Hyoje Lee
Yeachan Park
Hyun Seo
Myung-joo Kang
FedML
19
14
0
11 Aug 2022
Comparison of semi-supervised learning methods for High Content
  Screening quality control
Comparison of semi-supervised learning methods for High Content Screening quality control
Umar Masud
Ethan O. Cohen
Ihab Bendidi
Guillaume Bollot
Auguste Genovesio
31
4
0
09 Aug 2022
Understanding Masked Image Modeling via Learning Occlusion Invariant
  Feature
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
Xiangwen Kong
Xiangyu Zhang
SSL
32
53
0
08 Aug 2022
Contrastive Positive Mining for Unsupervised 3D Action Representation
  Learning
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning
Haoyuan Zhang
Yonghong Hou
Wenjing Zhang
Wanqing Li
SSL
34
38
0
06 Aug 2022
Analyzing Data-Centric Properties for Graph Contrastive Learning
Analyzing Data-Centric Properties for Graph Contrastive Learning
Puja Trivedi
Ekdeep Singh Lubana
Mark Heimann
Danai Koutra
Jayaraman J. Thiagarajan
30
11
0
04 Aug 2022
GPPF: A General Perception Pre-training Framework via Sparsely Activated
  Multi-Task Learning
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning
Benyuan Sun
Jinqiao Dai
Zihao Liang
Cong Liu
Yi Yang
Bo Bai
MoE
18
4
0
03 Aug 2022
COCOA: Cross Modality Contrastive Learning for Sensor Data
COCOA: Cross Modality Contrastive Learning for Sensor Data
Shohreh Deldari
Hao Xue
Aaqib Saeed
Daniel V. Smith
Flora D. Salim
SSL
45
38
0
31 Jul 2022
BYOLMed3D: Self-Supervised Representation Learning of Medical Videos using Gradient Accumulation Assisted 3D BYOL Framework
Siladittya Manna
Rakesh Dey
Souvik Chakraborty
SSL
16
0
0
31 Jul 2022
Revisiting the Critical Factors of Augmentation-Invariant Representation
  Learning
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning
Junqiang Huang
Xiangwen Kong
Xiangyu Zhang
30
6
0
30 Jul 2022
Improving Fine-tuning of Self-supervised Models with Contrastive
  Initialization
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Haolin Pan
Yong Guo
Qinyi Deng
Hao-Fan Yang
Yiqun Chen
Jian Chen
SSL
18
20
0
30 Jul 2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision
  and Beyond
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Chaoning Zhang
Chenshuang Zhang
Junha Song
John Seon Keun Yi
Kang Zhang
In So Kweon
SSL
57
71
0
30 Jul 2022
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach
A.B. Bahaj
Safae Lhazmir
Mounir Ghogho
16
1
0
29 Jul 2022
Self-supervised learning with rotation-invariant kernels
Self-supervised learning with rotation-invariant kernels
Léon Zheng
Gilles Puy
E. Riccietti
Patrick Pérez
Rémi Gribonval
SSL
19
2
0
28 Jul 2022
On the robustness of self-supervised representations for multi-view
  object classification
On the robustness of self-supervised representations for multi-view object classification
David Torpey
Richard Klein
SSL
11
1
0
27 Jul 2022
Contrastive Masked Autoencoders are Stronger Vision Learners
Contrastive Masked Autoencoders are Stronger Vision Learners
Zhicheng Huang
Xiaojie Jin
Cheng Lu
Qibin Hou
Mingg-Ming Cheng
Dongmei Fu
Xiaohui Shen
Jiashi Feng
50
148
0
27 Jul 2022
Unsupervised Domain Adaptation for Video Transformers in Action
  Recognition
Unsupervised Domain Adaptation for Video Transformers in Action Recognition
Victor G. Turrisi da Costa
Giacomo Zara
Paolo Rota
Thiago Oliveira-Santos
N. Sebe
Vittorio Murino
Elisa Ricci
16
13
0
26 Jul 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLL
VLM
27
210
0
26 Jul 2022
Dynamic Channel Selection in Self-Supervised Learning
Dynamic Channel Selection in Self-Supervised Learning
Tarun Krishna
Ayush K. Rai
Y. A. D. Djilali
Alan F. Smeaton
Kevin McGuinness
Noel E. O'Connor
SSL
36
2
0
25 Jul 2022
Better Reasoning Behind Classification Predictions with BERT for Fake
  News Detection
Better Reasoning Behind Classification Predictions with BERT for Fake News Detection
Daesoo Lee
SSL
25
0
0
23 Jul 2022
Scale dependant layer for self-supervised nuclei encoding
Scale dependant layer for self-supervised nuclei encoding
Peter Naylor
Yao-Hung Hubert Tsai
Marick Laé
Makoto Yamada
SSL
30
0
0
22 Jul 2022
Decoupled Adversarial Contrastive Learning for Self-supervised
  Adversarial Robustness
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
Axi Niu
Jiu Feng
Chang D. Yoo
In So Kweon
SSL
35
24
0
22 Jul 2022
GOCA: Guided Online Cluster Assignment for Self-Supervised Video
  Representation Learning
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning
Huseyin Coskun
Alireza Zareian
Joshua L. Moore
F. Tombari
Chen Wang
SSL
53
3
0
20 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner
Self-Supervision Can Be a Good Few-Shot Learner
Yuning Lu
Liangjiang Wen
Jianzhuang Liu
Yajing Liu
Xinmei Tian
SSL
22
37
0
19 Jul 2022
Semantic Novelty Detection via Relational Reasoning
Semantic Novelty Detection via Relational Reasoning
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
17
4
0
18 Jul 2022
Action-based Contrastive Learning for Trajectory Prediction
Action-based Contrastive Learning for Trajectory Prediction
Marah Halawa
Olaf Hellwich
Pia Bideau
21
29
0
18 Jul 2022
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic
  Scenarios
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios
Lakshman Balasubramanian
Jonas Wurst
R. Egolf
M. Botsch
Wolfgang Utschick
Ke Deng
ViT
35
1
0
18 Jul 2022
Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial
  Patches
Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches
Yuanzheng Ci
Chen Lin
Lei Bai
Wanli Ouyang
SSL
26
24
0
17 Jul 2022
Visually-aware Acoustic Event Detection using Heterogeneous Graphs
Visually-aware Acoustic Event Detection using Heterogeneous Graphs
A. Shirian
Krishna Somandepalli
Victor Sanchez
T. Guha
14
3
0
16 Jul 2022
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas
Zizheng Huang
Haoxing Chen
Ziqi Wen
Chao Zhang
Huaxiong Li
Bojuan Wang
Chunlin Chen
32
8
0
16 Jul 2022
HOME: High-Order Mixed-Moment-based Embedding for Representation
  Learning
HOME: High-Order Mixed-Moment-based Embedding for Representation Learning
Chuang Niu
Ge Wang
SSL
15
4
0
15 Jul 2022
Benchmarking Omni-Vision Representation through the Lens of Visual
  Realms
Benchmarking Omni-Vision Representation through the Lens of Visual Realms
Yuanhan Zhang
Zhen-fei Yin
Jing Shao
Ziwei Liu
VLM
46
26
0
14 Jul 2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in
  Pathology Images
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
Jiawei Yang
Hanbo Chen
Yuan Liang
Junzhou Huang
Lei He
Jianhua Yao
46
18
0
14 Jul 2022
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big
  One
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One
Liyuan Wang
Xingxing Zhang
Qian Li
Jun Zhu
Yi Zhong
CLL
38
46
0
13 Jul 2022
Unsupervised Visual Representation Learning by Synchronous Momentum
  Grouping
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
Bo Pang
Yifan Zhang
Yaoyi Li
Jia Cai
Cewu Lu
SSL
25
27
0
13 Jul 2022
The Free Energy Principle for Perception and Action: A Deep Learning
  Perspective
The Free Energy Principle for Perception and Action: A Deep Learning Perspective
Pietro Mazzaglia
Tim Verbelen
Ozan Çatal
Bart Dhoedt
DRL
AI4CE
30
31
0
13 Jul 2022
Previous
123...192021...262728
Next