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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
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
53
22
0
09 Sep 2021
Bootstrapped Meta-Learning
Bootstrapped Meta-Learning
Sebastian Flennerhag
Yannick Schroecker
Tom Zahavy
Hado van Hasselt
David Silver
Satinder Singh
43
59
0
09 Sep 2021
Preservational Learning Improves Self-supervised Medical Image Models by
  Reconstructing Diverse Contexts
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts
Hong-Yu Zhou
Chi-Ken Lu
Sibei Yang
Xiaoguang Han
Yizhou Yu
SSL
CLL
63
86
0
09 Sep 2021
Taming Self-Supervised Learning for Presentation Attack Detection:
  De-Folding and De-Mixing
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing
Zhe Kong
Wentian Zhang
Feng Liu
Wenhan Luo
Haozhe Liu
Linlin Shen
Raghavendra Ramachandra
AAML
45
6
0
09 Sep 2021
Sequence Level Contrastive Learning for Text Summarization
Sequence Level Contrastive Learning for Text Summarization
Shusheng Xu
Xingxing Zhang
Yi Wu
Furu Wei
24
95
0
08 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
33
15
0
06 Sep 2021
Sensor Data Augmentation by Resampling for Contrastive Learning in Human
  Activity Recognition
Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition
Jinqiang Wang
Tao Zhu
Jingyuan Gan
L. Chen
Huansheng Ning
Yaping Wan
25
50
0
05 Sep 2021
An Empirical Study of Graph Contrastive Learning
An Empirical Study of Graph Contrastive Learning
Yanqiao Zhu
Yichen Xu
Qiang Liu
Shu Wu
16
168
0
02 Sep 2021
On-target Adaptation
On-target Adaptation
Dequan Wang
Shaoteng Liu
Sayna Ebrahimi
Evan Shelhamer
Trevor Darrell
TTA
34
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
39
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
21
24
0
01 Sep 2021
Aligning Cross-lingual Sentence Representations with Dual Momentum
  Contrast
Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast
Liang Wang
Wei Zhao
Jingming Liu
40
14
0
01 Sep 2021
Multi-Sample based Contrastive Loss for Top-k Recommendation
Multi-Sample based Contrastive Loss for Top-k Recommendation
Hao Tang
Guoshuai Zhao
Yuxia Wu
Xueming Qian
25
32
0
01 Sep 2021
Spatio-temporal Self-Supervised Representation Learning for 3D Point
  Clouds
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
Siyuan Huang
Yichen Xie
Song-Chun Zhu
Yixin Zhu
3DPC
37
206
0
01 Sep 2021
ScatSimCLR: self-supervised contrastive learning with pretext task
  regularization for small-scale datasets
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
Vitaliy Kinakh
O. Taran
S. Voloshynovskiy
38
12
0
31 Aug 2021
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive
  Learning
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning
Yanqiao Zhu
Yichen Xu
Hejie Cui
Carl Yang
Qiang Liu
Shu Wu
24
9
0
31 Aug 2021
Towards Out-Of-Distribution Generalization: A Survey
Towards Out-Of-Distribution Generalization: A Survey
Jiashuo Liu
Zheyan Shen
Yue He
Xingxuan Zhang
Renzhe Xu
Han Yu
Peng Cui
CML
OOD
69
519
0
31 Aug 2021
MultiSiam: Self-supervised Multi-instance Siamese Representation
  Learning for Autonomous Driving
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
Kai Chen
Lanqing Hong
Hang Xu
Zhenguo Li
Dit-Yan Yeung
SSL
13
55
0
27 Aug 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
34
71
0
26 Aug 2021
LocTex: Learning Data-Efficient Visual Representations from Localized
  Textual Supervision
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Zhijian Liu
Simon Stent
Jie Li
John Gideon
Song Han
VLM
25
10
0
26 Aug 2021
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration
Soroush Seifi
Abhishek Jha
Tinne Tuytelaars
27
10
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
26
60
0
25 Aug 2021
Multi-Task Self-Training for Learning General Representations
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Nayeon Lee
SSL
24
100
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
22
27
0
25 Aug 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation
  Learning
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Wei Feng
Yuanjiang Wang
Lihua Ma
Ye Yuan
Chi Zhang
SSL
21
13
0
24 Aug 2021
Improving Object Detection by Label Assignment Distillation
Improving Object Detection by Label Assignment Distillation
Chuong H. Nguyen
Thuy C. Nguyen
Tuan N. Tang
N. Phan
41
41
0
24 Aug 2021
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
Zhiwu Qing
Ziyuan Huang
Shiwei Zhang
Mingqian Tang
Changxin Gao
M. Ang
Ronglei Ji
Nong Sang
48
3
0
24 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
How Transferable Are Self-supervised Features in Medical Image
  Classification Tasks?
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
T. Truong
Sadegh Mohammadi
Matthias Lenga
47
45
0
23 Aug 2021
Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object
  Re-identification
Uncertainty-aware Clustering for Unsupervised Domain Adaptive Object Re-identification
Pengfei Wang
Changxing Ding
Wentao Tan
Biwei Huang
Kui Jia
Dacheng Tao
32
40
0
22 Aug 2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet
  Training Consistency Shift
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
Jiefeng Peng
Jiqi Zhang
Changlin Li
Guangrun Wang
Xiaodan Liang
Liang Lin
AAML
OOD
34
16
0
22 Aug 2021
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D
  Reconstruction
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
I. Laradji
P. Rodríguez
David Vazquez
Derek Nowrouzezahrai
3DV
26
3
0
21 Aug 2021
Contrastive Representations for Label Noise Require Fine-Tuning
Contrastive Representations for Label Noise Require Fine-Tuning
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
23
1
0
20 Aug 2021
Is it Time to Replace CNNs with Transformers for Medical Images?
Is it Time to Replace CNNs with Transformers for Medical Images?
Christos Matsoukas
Johan Fredin Haslum
Magnus P Soderberg
Kevin Smith
ViT
OOD
MedIm
33
146
0
20 Aug 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Yuanyi Zhong
Bodi Yuan
Hong Wu
Zhiqiang Yuan
Jian Peng
Yu-xiong Wang
38
167
0
20 Aug 2021
Topo2vec: Topography Embedding Using the Fractal Effect
Topo2vec: Topography Embedding Using the Fractal Effect
Jonathan Kavitzky
Jonathan Zarecki
Idan Brusilovsky
Uriel Singer
24
0
0
19 Aug 2021
Concurrent Discrimination and Alignment for Self-Supervised Feature
  Learning
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
Anjan Dutta
Massimiliano Mancini
Zeynep Akata
SSL
22
0
0
19 Aug 2021
Few-shot Segmentation with Optimal Transport Matching and Message Flow
Few-shot Segmentation with Optimal Transport Matching and Message Flow
Weide Liu
Chi Zhang
Henghui Ding
Tzu-Yi Hung
Guosheng Lin
32
49
0
19 Aug 2021
Self-Supervised Visual Representations Learning by Contrastive Mask
  Prediction
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
Yucheng Zhao
Guangting Wang
Chong Luo
Wenjun Zeng
Zhengjun Zha
ISeg
SSL
27
46
0
18 Aug 2021
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and
  Randomized Layouts for 3D Object Detection
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection
Yongming Rao
Benlin Liu
Yi Wei
Jiwen Lu
Cho-Jui Hsieh
Jie Zhou
3DPC
33
50
0
17 Aug 2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation
  Learning for 3D CT Lesions
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions
Penghua Zhai
Huaiwei Cong
Gangming Zhao
Chaowei Fang
Jinpeng Li
Ting Cai
Huiguang He
27
10
0
17 Aug 2021
Self-Supervised Pretraining and Controlled Augmentation Improve Rare
  Wildlife Recognition in UAV Images
Self-Supervised Pretraining and Controlled Augmentation Improve Rare Wildlife Recognition in UAV Images
Xiaochen Zheng
B. Kellenberger
R. Gong
I. Hajnsek
D. Tuia
30
12
0
17 Aug 2021
Voxel-wise Cross-Volume Representation Learning for 3D Neuron
  Reconstruction
Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction
Heng Wang
Chaoyi Zhang
Jianhui Yu
Yang Song
Siqi Liu
Wojciech Chrzanowski
Weidong (Tom) Cai
3DV
11
6
0
14 Aug 2021
Collaborative Unsupervised Visual Representation Learning from
  Decentralized Data
Collaborative Unsupervised Visual Representation Learning from Decentralized Data
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
Shuai Yi
FedML
35
98
0
14 Aug 2021
Focus on the Positives: Self-Supervised Learning for Biodiversity
  Monitoring
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
SSL
34
30
0
14 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
Are Negative Samples Necessary in Entity Alignment? An Approach with
  High Performance, Scalability and Robustness
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
Xin Mao
Wenting Wang
Yuanbin Wu
Man Lan
32
26
0
11 Aug 2021
Few-Shot Segmentation with Global and Local Contrastive Learning
Few-Shot Segmentation with Global and Local Contrastive Learning
Weide Liu
Zhonghua Wu
Henghui Ding
Fayao Liu
Jie Lin
Guosheng Lin
Wei Zhou
45
24
0
11 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
32
0
0
10 Aug 2021
Knowledge accumulating: The general pattern of learning
Knowledge accumulating: The general pattern of learning
Zhuoran Xu
Hao Liu
CLL
32
0
0
09 Aug 2021
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