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Bootstrap your own latent: A new approach to self-supervised Learning

Bootstrap your own latent: A new approach to self-supervised Learning

13 June 2020
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
Elena Buchatskaya
Carl Doersch
Bernardo Avila-Pires
Z. Guo
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
    SSL
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Papers citing "Bootstrap your own latent: A new approach to self-supervised Learning"

50 / 3,825 papers shown
Title
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Xiaofan Yu
Anthony Thomas
Ivannia Gomez Moreno
Louis Gutierrez
Tajana Simunic
53
3
0
07 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
43
36
0
07 Mar 2024
ComFe: An Interpretable Head for Vision Transformers
ComFe: An Interpretable Head for Vision Transformers
Evelyn J. Mannix
H. Bondell
Howard Bondell
VLM
ViT
39
1
0
07 Mar 2024
LoDisc: Learning Global-Local Discriminative Features for
  Self-Supervised Fine-Grained Visual Recognition
LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition
Jialu Shi
Zhiqiang Wei
Jie Nie
Lei Huang
SSL
61
0
0
06 Mar 2024
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting
  Under Time-Domain Shift
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
Jun Chen
Weng-Keen Wong
B. Hamdaoui
57
3
0
06 Mar 2024
Membership Information Leakage in Federated Contrastive Learning
Membership Information Leakage in Federated Contrastive Learning
Kongyang Chen
Wenfeng Wang
Zixin Wang
Wangjun Zhang
Zhipeng Li
Yao Huang
FedML
40
1
0
06 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual
  Self-Distillation
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
45
8
0
06 Mar 2024
Contrastive Learning of Person-independent Representations for Facial
  Action Unit Detection
Contrastive Learning of Person-independent Representations for Facial Action Unit Detection
Yong Li
Shiguang Shan
47
9
0
06 Mar 2024
HeAR -- Health Acoustic Representations
HeAR -- Health Acoustic Representations
Sebastien Baur
Zaid Nabulsi
Wei-Hung Weng
Jake Garrison
Louis Blankemeier
...
Shwetak N. Patel
S. Shetty
Shruthi Prabhakara
Monde Muyoyeta
Diego Ardila
LM&MA
26
10
0
04 Mar 2024
Self-Supervised Facial Representation Learning with Facial Region
  Awareness
Self-Supervised Facial Representation Learning with Facial Region Awareness
Zheng Gao
Ioannis Patras
SSL
48
11
0
04 Mar 2024
A Generative Model of Symmetry Transformations
A Generative Model of Symmetry Transformations
J. Allingham
Bruno Mlodozeniec
Shreyas Padhy
Javier Antorán
David Krueger
Richard E. Turner
Eric T. Nalisnick
José Miguel Hernández-Lobato
GAN
65
4
0
04 Mar 2024
Superpixel Graph Contrastive Clustering with Semantic-Invariant
  Augmentations for Hyperspectral Images
Superpixel Graph Contrastive Clustering with Semantic-Invariant Augmentations for Hyperspectral Images
Jianhan Qi
Yuheng Jia
Hui Liu
Junhui Hou
53
2
0
04 Mar 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced
  Feature-Level Contrastive Learning
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
Qianhan Feng
Lujing Xie
Shijie Fang
Tong Lin
37
7
0
04 Mar 2024
Towards Calibrated Deep Clustering Network
Towards Calibrated Deep Clustering Network
Yuheng Jia
Jianhong Cheng
Hui Liu
Junhui Hou
UQCV
58
1
0
04 Mar 2024
Self-Supervised Representation Learning with Meta Comprehensive
  Regularization
Self-Supervised Representation Learning with Meta Comprehensive Regularization
Huijie Guo
Ying Ba
Jie Hu
Hui Xiong
Jingyao Wang
Lei Shi
SSL
44
5
0
03 Mar 2024
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Mitigating the Bias in the Model for Continual Test-Time Adaptation
Inseop Chung
Kyomin Hwang
Jayeon Yoo
Nojun Kwak
TTA
62
0
0
02 Mar 2024
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions
Guangrun Wang
Changlin Li
Liuchun Yuan
Jiefeng Peng
Xiaoyu Xian
Xiaodan Liang
Xiaojun Chang
Liang Lin
51
1
0
02 Mar 2024
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning
  Diverse Responses
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses
Weihao Zeng
Keqing He
Yejie Wang
Dayuan Fu
Weiran Xu
35
0
0
02 Mar 2024
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the
  Context of Pre-trained Models
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models
Ziting Wen
Oscar Pizarro
Stefan B. Williams
31
0
0
02 Mar 2024
Rethinking The Uniformity Metric in Self-Supervised Learning
Rethinking The Uniformity Metric in Self-Supervised Learning
Xianghong Fang
Jian Li
Qiang Sun
Benyou Wang
SSL
20
0
0
01 Mar 2024
Rethinking cluster-conditioned diffusion models
Rethinking cluster-conditioned diffusion models
Nikolas Adaloglou
Tim Kaiser
Félix D. P. Michels
M. Kollmann
VLM
42
3
0
01 Mar 2024
Learning and Leveraging World Models in Visual Representation Learning
Learning and Leveraging World Models in Visual Representation Learning
Q. Garrido
Mahmoud Assran
Nicolas Ballas
Adrien Bardes
Laurent Najman
Yann LeCun
SSL
49
24
0
01 Mar 2024
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity
  for Abstract Visual Reasoning
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning
Ruiqian Nai
Zixin Wen
Ji Li
Yuanzhi Li
Yang Gao
54
2
0
01 Mar 2024
VideoMAC: Video Masked Autoencoders Meet ConvNets
VideoMAC: Video Masked Autoencoders Meet ConvNets
Gensheng Pei
Tao Chen
XiRuo Jiang
Huafeng Liu
Zeren Sun
Yazhou Yao
VGen
52
9
0
29 Feb 2024
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao
Xun Xu
Manh Cuong Nguyen
A. Goodge
Chuan-Sheng Foo
42
10
0
29 Feb 2024
PRCL: Probabilistic Representation Contrastive Learning for
  Semi-Supervised Semantic Segmentation
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
Haoyu Xie
Changqi Wang
Jian-jun Zhao
Yang Liu
Jun Dan
Chong Fu
Baigui Sun
SSL
50
8
0
28 Feb 2024
Weakly Supervised Co-training with Swapping Assignments for Semantic
  Segmentation
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
Xinyu Yang
Hossein Rahmani
Sue Black
Bryan M. Williams
42
2
0
27 Feb 2024
REPrune: Channel Pruning via Kernel Representative Selection
REPrune: Channel Pruning via Kernel Representative Selection
Mincheol Park
Dongjin Kim
Cheonjun Park
Yuna Park
Gyeong Eun Gong
Won Woo Ro
Suhyun Kim
VLM
51
1
0
27 Feb 2024
MedContext: Learning Contextual Cues for Efficient Volumetric Medical
  Segmentation
MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation
Hanan Gani
Muzammal Naseer
Fahad Khan
Salman Khan
28
0
0
27 Feb 2024
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty
  Estimation from Unlabelled Data
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data
David S. W. Williams
Daniele De Martini
Matthew Gadd
Paul Newman
UQCV
29
5
0
27 Feb 2024
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning
Shentong Mo
Yansen Wang
Xufang Luo
Dongsheng Li
VLM
41
1
0
27 Feb 2024
Does Negative Sampling Matter? A Review with Insights into its Theory
  and Applications
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
41
9
0
27 Feb 2024
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
Minyoung Huh
Brian Cheung
Jeremy Bernstein
Phillip Isola
Pulkit Agrawal
48
10
0
26 Feb 2024
Generative Pretrained Hierarchical Transformer for Time Series
  Forecasting
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
Zhiding Liu
Jiqian Yang
Mingyue Cheng
Yucong Luo
Zhi Li
AI4TS
36
14
0
26 Feb 2024
IRConStyle: Image Restoration Framework Using Contrastive Learning and
  Style Transfer
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer
Dongqi Fan
Xin Zhao
Liang Chang
37
1
0
24 Feb 2024
DeepSet SimCLR: Self-supervised deep sets for improved pathology
  representation learning
DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning
David Torpey
Richard Klein
SSL
50
2
0
23 Feb 2024
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation
  Learning of Vision-based Autonomous Driving
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving
Yichen Xie
Hongge Chen
Gregory P. Meyer
Yong Jae Lee
Eric M. Wolff
Masayoshi Tomizuka
Wei Zhan
Yuning Chai
Xin Huang
3DPC
55
1
0
23 Feb 2024
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
Smoothed Graph Contrastive Learning via Seamless Proximity Integration
M. Behmanesh
M. Ovsjanikov
34
0
0
23 Feb 2024
The Common Stability Mechanism behind most Self-Supervised Learning
  Approaches
The Common Stability Mechanism behind most Self-Supervised Learning Approaches
Abhishek Jha
Matthew B. Blaschko
Yuki M. Asano
Tinne Tuytelaars
SSL
35
1
0
22 Feb 2024
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised
  Learning
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
Johnathan Xie
Yoonho Lee
Annie S. Chen
Chelsea Finn
30
3
0
22 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda
Ching-Chun Chang
Isao Echizen
AAML
41
0
0
22 Feb 2024
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning
  for Medical Image Segmentation
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
Jamshid Hassanpour
V. Srivastav
Didier Mutter
N. Padoy
SSL
57
2
0
22 Feb 2024
Self-supervised Visualisation of Medical Image Datasets
Self-supervised Visualisation of Medical Image Datasets
I. V. Nwabufo
Jan Niklas Böhm
Philipp Berens
D. Kobak
44
0
0
22 Feb 2024
Robust Training of Federated Models with Extremely Label Deficiency
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang
Zhiqin Yang
Xinmei Tian
Nannan Wang
Tongliang Liu
Bo Han
FedML
52
6
0
22 Feb 2024
E2USD: Efficient-yet-effective Unsupervised State Detection for
  Multivariate Time Series
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
Zhichen Lai
Huan Li
Dalin Zhang
Yan Zhao
Weizhu Qian
Christian S. Jensen
AI4TS
37
9
0
21 Feb 2024
Inductive Graph Alignment Prompt: Bridging the Gap between Graph
  Pre-training and Inductive Fine-tuning From Spectral Perspective
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective
Ran Zhang
Peiyan Zhang
Zheng Fang
Qingqing Long
AI4CE
36
13
0
21 Feb 2024
Unsupervised learning based object detection using Contrastive Learning
Unsupervised learning based object detection using Contrastive Learning
Chandan Kumar
Jansel Herrera-Gerena
John Just
Matthew J. Darr
Ali Jannesari
SSL
59
1
0
21 Feb 2024
Unsupervised Concept Discovery Mitigates Spurious Correlations
Unsupervised Concept Discovery Mitigates Spurious Correlations
Md Rifat Arefin
Yan Zhang
A. Baratin
Francesco Locatello
Irina Rish
Dianbo Liu
Kenji Kawaguchi
59
6
0
20 Feb 2024
Analysis of Using Sigmoid Loss for Contrastive Learning
Analysis of Using Sigmoid Loss for Contrastive Learning
Chungpa Lee
Joonhwan Chang
Jy-yong Sohn
48
2
0
20 Feb 2024
GOOD: Towards Domain Generalized Orientated Object Detection
GOOD: Towards Domain Generalized Orientated Object Detection
Qi Bi
Beichen Zhou
Jingjun Yi
Wei Ji
Haolan Zhan
Gui-Song Xia
ObjD
OOD
85
2
0
20 Feb 2024
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