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. 2006.07733
  4. Cited By
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
ArXivPDFHTML

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

50 / 3,817 papers shown
Title
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning
  Tasks
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
Yu Li
Min Li
Qiuxia Lai
Yannan Liu
Qiang Xu
4
21
0
21 May 2021
Do We Really Need to Learn Representations from In-domain Data for
  Outlier Detection?
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?
Zhisheng Xiao
Qing Yan
Y. Amit
OOD
UQCV
17
18
0
19 May 2021
Self-Supervised Learning for Fine-Grained Visual Categorization
Self-Supervised Learning for Fine-Grained Visual Categorization
Muhammad Maaz
H. Rasheed
D. Gaddam
25
2
0
18 May 2021
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Yuxing Chen
Lorenzo Bruzzone
SSL
22
18
0
18 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
53
96
0
17 May 2021
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ
  Segmentation
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
Chae-Eun Lee
Minyoung Chung
Y. Shin
DRL
41
9
0
17 May 2021
Rethinking "Batch" in BatchNorm
Rethinking "Batch" in BatchNorm
Yuxin Wu
Justin Johnson
BDL
35
66
0
17 May 2021
Semi-supervised Contrastive Learning with Similarity Co-calibration
Semi-supervised Contrastive Learning with Similarity Co-calibration
Yuhang Zhang
Xiaopeng Zhang
Robert C. Qiu
Jie Li
Haohang Xu
Qi Tian
SSL
12
60
0
16 May 2021
Self-supervised Learning on Graphs: Contrastive, Generative,or
  Predictive
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive
Lirong Wu
Haitao Lin
Zhangyang Gao
Cheng Tan
Stan.Z.Li
SSL
28
241
0
16 May 2021
Mean Shift for Self-Supervised Learning
Mean Shift for Self-Supervised Learning
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
22
93
0
15 May 2021
Sparsity-Probe: Analysis tool for Deep Learning Models
Sparsity-Probe: Analysis tool for Deep Learning Models
Ido Ben-Shaul
S. Dekel
18
4
0
14 May 2021
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial
  Representation
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation
Mahdi Pourmirzaei
G. Montazer
Farzaneh Esmaili
CVBM
21
26
0
13 May 2021
Bootstrapping User and Item Representations for One-Class Collaborative
  Filtering
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Dongha Lee
SeongKu Kang
Hyunjun Ju
Chanyoung Park
Hwanjo Yu
22
107
0
13 May 2021
Unsupervised Hashing with Contrastive Information Bottleneck
Unsupervised Hashing with Contrastive Information Bottleneck
Zexuan Qiu
Qinliang Su
Zijing Ou
Jianxing Yu
Changyou Chen
SSL
13
84
0
13 May 2021
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for
  Video Correspondence Learning
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning
Yansong Tang
Zhenyu Jiang
Zhenda Xie
Yue Cao
Zheng-Wei Zhang
Philip H. S. Torr
Han Hu
40
5
0
12 May 2021
When Does Contrastive Visual Representation Learning Work?
When Does Contrastive Visual Representation Learning Work?
Elijah Cole
Xuan S. Yang
Kimberly Wilber
Oisin Mac Aodha
Serge J. Belongie
SSL
21
123
0
12 May 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph
  Representation Learning
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning
Ming Jin
Yizhen Zheng
Yuan-Fang Li
Chen Gong
Chuan Zhou
Shirui Pan
SSL
22
153
0
12 May 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSL
DML
71
901
0
11 May 2021
Self-Supervised Learning with Swin Transformers
Self-Supervised Learning with Swin Transformers
Zhenda Xie
Yutong Lin
Zhuliang Yao
Zheng-Wei Zhang
Qi Dai
Yue Cao
Han Hu
ViT
23
177
0
10 May 2021
Contrastive Attraction and Contrastive Repulsion for Representation
  Learning
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng
Xu Chen
Jiangchao Yao
Hongxia Yang
Chunyuan Li
Ya-Qin Zhang
Hao Zhang
Ivor Tsang
Jingren Zhou
Mingyuan Zhou
SSL
42
12
0
08 May 2021
Self-Supervised Learning from Automatically Separated Sound Scenes
Self-Supervised Learning from Automatically Separated Sound Scenes
Eduardo Fonseca
A. Jansen
D. Ellis
Scott Wisdom
Marco Tagliasacchi
J. Hershey
Manoj Plakal
Shawn Hershey
R. C. Moore
Xavier Serra
SSL
31
13
0
05 May 2021
Contrastive Learning and Self-Training for Unsupervised Domain
  Adaptation in Semantic Segmentation
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
Robert A. Marsden
Alexander Bartler
Mario Döbler
Binh Yang
SSL
16
26
0
05 May 2021
Representation Learning for Clustering via Building Consensus
Representation Learning for Clustering via Building Consensus
A. Deshmukh
Jayanth Reddy Regatti
Eren Manavoglu
Ürün Dogan
SSL
19
9
0
04 May 2021
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
124
187
0
02 May 2021
Hyperspherically Regularized Networks for Self-Supervision
Hyperspherically Regularized Networks for Self-Supervision
A. Durrant
Georgios Leontidis
SSL
72
7
0
29 Apr 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation
  Learning
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Christoph Feichtenhofer
Haoqi Fan
Bo Xiong
Ross B. Girshick
Kaiming He
SSL
AI4TS
28
257
0
29 Apr 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
188
453
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,775
0
29 Apr 2021
ActNN: Reducing Training Memory Footprint via 2-Bit Activation
  Compressed Training
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Jianfei Chen
Lianmin Zheng
Z. Yao
Dequan Wang
Ion Stoica
Michael W. Mahoney
Joseph E. Gonzalez
MQ
17
74
0
29 Apr 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically
  Predicting View Assignments with Support Samples
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Armand Joulin
Nicolas Ballas
Michael G. Rabbat
SSL
22
147
0
28 Apr 2021
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive
  Learning
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
Yao-Hung Hubert Tsai
Shaojie Bai
Louis-Philippe Morency
Ruslan Salakhutdinov
SSL
20
38
0
28 Apr 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive
  Learning from a Class-wise Memory Bank
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSL
CLL
124
203
0
27 Apr 2021
Self-distillation with Batch Knowledge Ensembling Improves ImageNet
  Classification
Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
Yixiao Ge
Xiao Zhang
Ching Lam Choi
Ka Chun Cheung
Peipei Zhao
Feng Zhu
Xiaogang Wang
Rui Zhao
Hongsheng Li
FedML
UQCV
129
25
0
27 Apr 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image
  Classification Datasets
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
Yuan-Hong Liao
Amlan Kar
Sanja Fidler
VLM
23
29
0
26 Apr 2021
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
47
28
0
25 Apr 2021
Pri3D: Can 3D Priors Help 2D Representation Learning?
Pri3D: Can 3D Priors Help 2D Representation Learning?
Ji Hou
Saining Xie
Benjamin Graham
Angela Dai
Matthias Nießner
SSL
3DPC
MDE
85
79
0
22 Apr 2021
VATT: Transformers for Multimodal Self-Supervised Learning from Raw
  Video, Audio and Text
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari
Liangzhe Yuan
Rui Qian
Wei-Hong Chuang
Shih-Fu Chang
Yin Cui
Boqing Gong
ViT
248
577
0
22 Apr 2021
Brittle Features May Help Anomaly Detection
Brittle Features May Help Anomaly Detection
Kimberly T. Mai
Toby P Davies
Lewis D. Griffin
17
2
0
21 Apr 2021
3KG: Contrastive Learning of 12-Lead Electrocardiograms using
  Physiologically-Inspired Augmentations
3KG: Contrastive Learning of 12-Lead Electrocardiograms using Physiologically-Inspired Augmentations
Bryan Gopal
Ryan Han
Gautham Raghupathi
A. Ng
G. Tison
Pranav Rajpurkar
MedIm
13
57
0
21 Apr 2021
Distill on the Go: Online knowledge distillation in self-supervised
  learning
Distill on the Go: Online knowledge distillation in self-supervised learning
Prashant Bhat
Elahe Arani
Bahram Zonooz
SSL
22
28
0
20 Apr 2021
SelfReg: Self-supervised Contrastive Regularization for Domain
  Generalization
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization
Daehee Kim
Seunghyun Park
Jinkyu Kim
Jaekoo Lee
OOD
SSL
62
264
0
20 Apr 2021
A Framework using Contrastive Learning for Classification with Noisy
  Labels
A Framework using Contrastive Learning for Classification with Noisy Labels
Madalina Ciortan
R. Dupuis
Thomas Peel
VLM
NoLa
21
12
0
19 Apr 2021
Contrastive Learning for Compact Single Image Dehazing
Contrastive Learning for Compact Single Image Dehazing
Haiyan Wu
Yanyun Qu
Shaohui Lin
J. Zhou
Ruizhi Qiao
Zhizhong Zhang
Yuan Xie
Lizhuang Ma
124
565
0
19 Apr 2021
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive
  Background Prototypes
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Jiacheng Chen
Bin-Bin Gao
Zongqing Lu
Jing-Hao Xue
Chengjie Wang
Q. Liao
VLM
15
10
0
19 Apr 2021
DisCo: Remedy Self-supervised Learning on Lightweight Models with
  Distilled Contrastive Learning
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Yuting Gao
Jia-Xin Zhuang
Xiaowei Guo
Hao Cheng
Xing Sun
Ke Li
Feiyue Huang
33
40
0
19 Apr 2021
Solving Inefficiency of Self-supervised Representation Learning
Solving Inefficiency of Self-supervised Representation Learning
Guangrun Wang
Keze Wang
Guangcong Wang
Philip H. S. Torr
Liang Lin
SSL
19
58
0
18 Apr 2021
Color Variants Identification in Fashion e-commerce via Contrastive
  Self-Supervised Representation Learning
Color Variants Identification in Fashion e-commerce via Contrastive Self-Supervised Representation Learning
U. Dutta
Sandeep Repakula
Maulik Parmar
Abhinav Ravi
SSL
20
0
0
17 Apr 2021
Exploring Visual Engagement Signals for Representation Learning
Exploring Visual Engagement Signals for Representation Learning
Menglin Jia
Zuxuan Wu
A. Reiter
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
21
13
0
15 Apr 2021
Contrastive Learning with Stronger Augmentations
Contrastive Learning with Stronger Augmentations
Xiao Wang
Guo-Jun Qi
CLL
19
219
0
15 Apr 2021
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong
  Data Augmentation
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
Jianlong Yuan
Yifan Liu
Chunhua Shen
Zhibin Wang
Hao Li
8
110
0
15 Apr 2021
Previous
123...707172...757677
Next