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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
Paying More Attention to Self-attention: Improving Pre-trained Language
  Models via Attention Guiding
Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding
Shanshan Wang
Zhumin Chen
Z. Ren
Huasheng Liang
Qiang Yan
Pengjie Ren
30
9
0
06 Apr 2022
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance
  Evaluated on Non-stationary Seismic Signal Time Series
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series
Daesoo Lee
Erlend Aune
N. Langet
J. Eidsvik
15
0
0
06 Apr 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive
  Representations to Related Subpopulations
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
Jeff Z. HaoChen
Colin Wei
Ananya Kumar
Tengyu Ma
28
37
0
06 Apr 2022
POS-BERT: Point Cloud One-Stage BERT Pre-Training
POS-BERT: Point Cloud One-Stage BERT Pre-Training
Kexue Fu
Peng Gao
Shaolei Liu
Renrui Zhang
Yu Qiao
Manning Wang
3DPC
24
18
0
03 Apr 2022
Simplicial Embeddings in Self-Supervised Learning and Downstream
  Classification
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification
Samuel Lavoie
Christos Tsirigotis
Max Schwarzer
Ankit Vani
Michael Noukhovitch
Kenji Kawaguchi
Aaron C. Courville
SSL
24
17
0
01 Apr 2022
On the Importance of Asymmetry for Siamese Representation Learning
On the Importance of Asymmetry for Siamese Representation Learning
Tianlin Li
Haoqi Fan
Yuandong Tian
Daisuke Kihara
Xinlei Chen
SSL
30
51
0
01 Apr 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised
  Domain Adaptation
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
Kendrick Shen
Robbie Jones
Ananya Kumar
Sang Michael Xie
Jeff Z. HaoChen
Tengyu Ma
Percy Liang
SSL
34
85
0
01 Apr 2022
Self-distillation Augmented Masked Autoencoders for Histopathological
  Image Classification
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification
Yang Luo
Zhineng Chen
Shengtian Zhou
Xieping Gao
31
1
0
31 Mar 2022
Analyzing the factors affecting usefulness of Self-Supervised
  Pre-trained Representations for Speech Recognition
Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition
Ashish Seth
L. D. Prasad
Sreyan Ghosh
S. Umesh
30
3
0
31 Mar 2022
Dual Temperature Helps Contrastive Learning Without Many Negative
  Samples: Towards Understanding and Simplifying MoCo
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang
Kang Zhang
T. Pham
Axi Niu
Zhinan Qiao
Chang D. Yoo
In So Kweon
24
54
0
30 Mar 2022
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe
  Domain Shift
AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift
Burak Yıldız
Seyran Khademi
R. Siebes
J. C. V. Gemert
22
19
0
30 Mar 2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified
  Understanding with Self-supervised Contrastive Learning
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
T. Pham
Chang D. Yoo
In So Kweon
SSL
29
71
0
30 Mar 2022
Contrasting the landscape of contrastive and non-contrastive learning
Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle
Jinjin Tian
Yuchen Li
Andrej Risteski
SSL
30
28
0
29 Mar 2022
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
Xiaotong Li
Yixiao Ge
Kun Yi
Zixuan Hu
Ying Shan
Ling-yu Duan
37
38
0
29 Mar 2022
SPAct: Self-supervised Privacy Preservation for Action Recognition
SPAct: Self-supervised Privacy Preservation for Action Recognition
I. Dave
Cheng Chen
M. Shah
PICV
24
55
0
29 Mar 2022
Learning Where to Learn in Cross-View Self-Supervised Learning
Learning Where to Learn in Cross-View Self-Supervised Learning
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
SSL
22
41
0
28 Mar 2022
DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio
  Representation Learning
DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio Representation Learning
Sreyan Ghosh
Ashish Seth
and Deepak Mittal
Maneesh Singh
S. Umesh
SSL
27
6
0
25 Mar 2022
Self-Supervised Predictive Learning: A Negative-Free Method for Sound
  Source Localization in Visual Scenes
Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes
Zengjie Song
Yuxi Wang
Junsong Fan
Tieniu Tan
Zhaoxiang Zhang
SSL
16
42
0
25 Mar 2022
The Challenges of Continuous Self-Supervised Learning
The Challenges of Continuous Self-Supervised Learning
Senthil Purushwalkam
Pedro Morgado
Abhinav Gupta
CLL
19
41
0
23 Mar 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With
  Self-supervised Learning
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
Weicheng Zhu
C. Fernandez‐Granda
N. Razavian
SSL
16
4
0
23 Mar 2022
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers
Ryan Grainger
Thomas Paniagua
Xi Song
Naresh P. Cuntoor
Mun Wai Lee
Tianfu Wu
ViT
10
7
0
22 Mar 2022
Feature Distribution Matching for Federated Domain Generalization
Feature Distribution Matching for Federated Domain Generalization
Yuwei Sun
Ng Chong
H. Ochiai
OOD
15
30
0
22 Mar 2022
Representation Uncertainty in Self-Supervised Learning as Variational
  Inference
Representation Uncertainty in Self-Supervised Learning as Variational Inference
Hiroki Nakamura
Masashi Okada
T. Taniguchi
25
18
0
22 Mar 2022
Unsupervised Network Embedding Beyond Homophily
Unsupervised Network Embedding Beyond Homophily
Zhiqiang Zhong
Guadalupe Gonzalez
Daniele Grattarola
Jun Pang
OODD
GNN
19
6
0
21 Mar 2022
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
OOD
26
131
0
21 Mar 2022
Inferring topological transitions in pattern-forming processes with
  self-supervised learning
Inferring topological transitions in pattern-forming processes with self-supervised learning
M. Abram
Keith Burghardt
Greg Ver Steeg
Aram Galstyan
Rémi Dingreville
AI4CE
19
9
0
19 Mar 2022
Contrastive Learning with Positive-Negative Frame Mask for Music
  Representation
Contrastive Learning with Positive-Negative Frame Mask for Music Representation
D. Yao
Zhou Zhao
Shengyu Zhang
Jieming Zhu
Yudong Zhu
Rui Zhang
Xiuqiang He
28
21
0
17 Mar 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
44
87
0
16 Mar 2022
Weak Augmentation Guided Relational Self-Supervised Learning
Weak Augmentation Guided Relational Self-Supervised Learning
Mingkai Zheng
Shan You
Fei Wang
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
32
4
0
16 Mar 2022
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Ping Yu
Cheng Sun
Min Sun
3DPC
26
11
0
16 Mar 2022
SCD: Self-Contrastive Decorrelation for Sentence Embeddings
SCD: Self-Contrastive Decorrelation for Sentence Embeddings
T. Klein
Moin Nabi
SSL
33
25
0
15 Mar 2022
Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Prakash Chandra Chhipa
Richa Upadhyay
G. Pihlgren
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSL
MedIm
33
19
0
15 Mar 2022
Improving Event Representation via Simultaneous Weakly Supervised
  Contrastive Learning and Clustering
Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering
Jun Gao
Wei Wang
Changlong Yu
Huan Zhao
Wilfred Ng
Ruifeng Xu
SSL
DRL
19
25
0
15 Mar 2022
Task-Agnostic Robust Representation Learning
Task-Agnostic Robust Representation Learning
A. Nguyen
Ser Nam Lim
Philip H. S. Torr
SSL
OOD
16
4
0
15 Mar 2022
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised
  Learning Through Hierarchical Contrastive Learning
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
Manuel Tran
S. J. Wagner
Melanie Boxberg
T. Peng
SSL
17
12
0
14 Mar 2022
Disentangled Representation Learning for Text-Video Retrieval
Disentangled Representation Learning for Text-Video Retrieval
Qiang Wang
Yanhao Zhang
Yun Zheng
Pan Pan
Xiansheng Hua
45
76
0
14 Mar 2022
Rethinking Minimal Sufficient Representation in Contrastive Learning
Rethinking Minimal Sufficient Representation in Contrastive Learning
Haoqing Wang
Xun Guo
Zhiwei Deng
Yan Lu
SSL
19
73
0
14 Mar 2022
Chart-to-Text: A Large-Scale Benchmark for Chart Summarization
Chart-to-Text: A Large-Scale Benchmark for Chart Summarization
Shankar Kanthara
Rixie Tiffany Ko Leong
Xiang Lin
Ahmed Masry
Megh Thakkar
Enamul Hoque
Shafiq R. Joty
25
135
0
12 Mar 2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence,
  Higher Data-efficiency, and Better Transferability
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
Ruifei He
Shuyang Sun
Jihan Yang
Song Bai
Xiaojuan Qi
29
36
0
10 Mar 2022
MetAug: Contrastive Learning via Meta Feature Augmentation
MetAug: Contrastive Learning via Meta Feature Augmentation
Jiangmeng Li
Jingyao Wang
Changwen Zheng
Bing-Huang Su
Hui Xiong
22
23
0
10 Mar 2022
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text
  Recognition and Document Enhancement
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement
Mohamed Ali Souibgui
Sanket Biswas
Andrés Mafla
Ali Furkan Biten
Alicia Fornés
Yousri Kessentini
Josep Lladós
Lluís Gómez
Dimosthenis Karatzas
21
23
0
09 Mar 2022
Towards Inadequately Pre-trained Models in Transfer Learning
Towards Inadequately Pre-trained Models in Transfer Learning
Andong Deng
Xingjian Li
Di Hu
Tianyang Wang
Haoyi Xiong
Chengzhong Xu
11
6
0
09 Mar 2022
HEAR: Holistic Evaluation of Audio Representations
HEAR: Holistic Evaluation of Audio Representations
Joseph P. Turian
Jordie Shier
H. Khan
Bhiksha Raj
Björn W. Schuller
...
P. Esling
Pranay Manocha
Shinji Watanabe
Zeyu Jin
Yonatan Bisk
36
99
0
06 Mar 2022
MixCL: Pixel label matters to contrastive learning
MixCL: Pixel label matters to contrastive learning
Jun Li
Quan Quan
S. Kevin Zhou
SSL
31
1
0
04 Mar 2022
Measuring Self-Supervised Representation Quality for Downstream
  Classification using Discriminative Features
Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features
N. Kalibhat
Kanika Narang
Hamed Firooz
Maziar Sanjabi
S. Feizi
SSL
38
7
0
03 Mar 2022
Audio Self-supervised Learning: A Survey
Audio Self-supervised Learning: A Survey
Shuo Liu
Adria Mallol-Ragolta
Emilia Parada-Cabeleiro
Kun Qian
Xingshuo Jing
Alexander Kathan
Bin Hu
Bjoern W. Schuller
SSL
35
106
0
02 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without
  Reconstruction
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction
Masashi Okada
T. Taniguchi
3DV
OffRL
28
22
0
01 Mar 2022
Robots Autonomously Detecting People: A Multimodal Deep Contrastive
  Learning Method Robust to Intraclass Variations
Robots Autonomously Detecting People: A Multimodal Deep Contrastive Learning Method Robust to Intraclass Variations
Angus Fung
B. Benhabib
G. Nejat
19
12
0
01 Mar 2022
Exploring the Impact of Negative Samples of Contrastive Learning: A Case
  Study of Sentence Embedding
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Rui Cao
Yihao Wang
Y. Liang
Ling Gao
Jie Zheng
Jie Ren
Zheng Wang
24
34
0
26 Feb 2022
SWIS: Self-Supervised Representation Learning For Writer Independent
  Offline Signature Verification
SWIS: Self-Supervised Representation Learning For Writer Independent Offline Signature Verification
Siladittya Manna
Soumitri Chattopadhyay
Saumik Bhattacharya
Umapada Pal
8
12
0
26 Feb 2022
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