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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
Kaizen: Continuously improving teacher using Exponential Moving Average
  for semi-supervised speech recognition
Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition
Vimal Manohar
Tatiana Likhomanenko
Qiantong Xu
Wei-Ning Hsu
R. Collobert
Yatharth Saraf
Geoffrey Zweig
Abdel-rahman Mohamed
34
25
0
14 Jun 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked
  Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu
Benjamin Bolte
Yao-Hung Hubert Tsai
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
55
2,806
0
14 Jun 2021
Understanding Latent Correlation-Based Multiview Learning and
  Self-Supervision: An Identifiability Perspective
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
Qinjie Lyu
Xiao Fu
Weiran Wang
Songtao Lu
SSL
23
30
0
14 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
45
78
0
13 Jun 2021
Revisiting consistency for semi-supervised semantic segmentation
Revisiting consistency for semi-supervised semantic segmentation
Ivan Grubišić
Marin Orsic
Sinisa Segvic
19
4
0
13 Jun 2021
Atlas Based Representation and Metric Learning on Manifolds
Atlas Based Representation and Metric Learning on Manifolds
Eric O. Korman
22
3
0
13 Jun 2021
Contrastive Attention for Automatic Chest X-ray Report Generation
Contrastive Attention for Automatic Chest X-ray Report Generation
Fenglin Liu
Changchang Yin
Xian Wu
Shen Ge
Yuexian Zou
Ping Zhang
Yuexian Zou
Xu Sun
MedIm
16
146
0
13 Jun 2021
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Shaobo Min
Qi Dai
Hongtao Xie
Chuang Gan
Yongdong Zhang
Jingdong Wang
SSL
23
7
0
13 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
30
118
0
12 Jun 2021
Hybrid Generative-Contrastive Representation Learning
Hybrid Generative-Contrastive Representation Learning
Saehoon Kim
Sungwoong Kim
Juho Lee
SSL
22
11
0
11 Jun 2021
Refining Pseudo Labels with Clustering Consensus over Generations for
  Unsupervised Object Re-identification
Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification
Xiao Zhang
Yixiao Ge
Yu Qiao
Hongsheng Li
32
96
0
11 Jun 2021
Spectral Unsupervised Domain Adaptation for Visual Recognition
Spectral Unsupervised Domain Adaptation for Visual Recognition
Jingyi Zhang
Jiaxing Huang
Zichen Tian
Shijian Lu
28
67
0
11 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
25
65
0
10 Jun 2021
MST: Masked Self-Supervised Transformer for Visual Representation
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li
Zhiyang Chen
Fan Yang
Wei Li
Yousong Zhu
...
Rui Deng
Liwei Wu
Rui Zhao
Ming Tang
Jinqiao Wang
ViT
45
163
0
10 Jun 2021
Multi-Dataset Benchmarks for Masked Identification using Contrastive
  Representation Learning
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning
Sachith Seneviratne
Nuran Kasthuriaarachchi
Sanka Rasnayaka
CVBM
25
6
0
10 Jun 2021
Knowledge distillation: A good teacher is patient and consistent
Knowledge distillation: A good teacher is patient and consistent
Lucas Beyer
Xiaohua Zhai
Amelie Royer
L. Markeeva
Rohan Anil
Alexander Kolesnikov
VLM
52
287
0
09 Jun 2021
Pretrained Encoders are All You Need
Pretrained Encoders are All You Need
Mina Khan
P. Srivatsa
Advait Rane
Shriram Chenniappa
Rishabh Anand
Sherjil Ozair
Pattie Maes
SSL
VLM
31
6
0
09 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer
Nitarshan Rajkumar
Michael Noukhovitch
Ankesh Anand
Laurent Charlin
Devon Hjelm
Philip Bachman
Aaron Courville
OffRL
47
114
0
09 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates
  Content from Style
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen
Yash Sharma
Luigi Gresele
Wieland Brendel
Bernhard Schölkopf
M. Besserve
Francesco Locatello
30
304
0
08 Jun 2021
Scaling Vision Transformers
Scaling Vision Transformers
Xiaohua Zhai
Alexander Kolesnikov
N. Houlsby
Lucas Beyer
ViT
85
1,064
0
08 Jun 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Amir Bar
Xin Wang
Vadim Kantorov
Colorado Reed
Roei Herzig
Gal Chechik
Anna Rohrbach
Trevor Darrell
Amir Globerson
ViT
33
115
0
08 Jun 2021
Interpretable agent communication from scratch (with a generic visual
  processor emerging on the side)
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Roberto Dessì
Eugene Kharitonov
Marco Baroni
35
27
0
08 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
24
302
0
08 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for
  Reinforcement Learning
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu
Cuiling Lan
Wenjun Zeng
Mingxiao Feng
Zhizheng Zhang
Zhibo Chen
OffRL
25
46
0
08 Jun 2021
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Multi-dataset Pretraining: A Unified Model for Semantic Segmentation
Bowen Shi
Xiaopeng Zhang
Haohang Xu
Wenrui Dai
Junni Zou
H. Xiong
Qi Tian
17
7
0
08 Jun 2021
Graph-MLP: Node Classification without Message Passing in Graph
Graph-MLP: Node Classification without Message Passing in Graph
Yang Hu
Haoxuan You
Zhecan Wang
Zhicheng Wang
Erjin Zhou
Yue Gao
27
108
0
08 Jun 2021
Expressivity of Emergent Language is a Trade-off between Contextual
  Complexity and Unpredictability
Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability
Shangmin Guo
Yi Ren
Kory W. Mathewson
S. Kirby
Stefano V. Albrecht
Kenny Smith
59
11
0
07 Jun 2021
Mean-Shifted Contrastive Loss for Anomaly Detection
Mean-Shifted Contrastive Loss for Anomaly Detection
Tal Reiss
Yedid Hoshen
16
116
0
07 Jun 2021
Efficient Training of Visual Transformers with Small Datasets
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu
E. Sangineto
Wei Bi
N. Sebe
Bruno Lepri
Marco De Nadai
ViT
36
167
0
07 Jun 2021
Incremental False Negative Detection for Contrastive Learning
Incremental False Negative Detection for Contrastive Learning
Tsai-Shien Chen
Wei-Chih Hung
Hung-Yu Tseng
Shao-Yi Chien
Ming-Hsuan Yang
SSL
CLL
18
61
0
07 Jun 2021
Quantifying and Improving Transferability in Domain Generalization
Quantifying and Improving Transferability in Domain Generalization
Guojun Zhang
Han Zhao
Yaoliang Yu
Pascal Poupart
45
37
0
07 Jun 2021
Understand and Improve Contrastive Learning Methods for Visual
  Representation: A Review
Understand and Improve Contrastive Learning Methods for Visual Representation: A Review
Ran Liu
SSL
29
12
0
06 Jun 2021
Large-scale Unsupervised Semantic Segmentation
Large-scale Unsupervised Semantic Segmentation
Shangqi Gao
Zhong-Yu Li
Ming-Hsuan Yang
Mingg-Ming Cheng
Junwei Han
Philip Torr
UQCV
48
84
0
06 Jun 2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
Sunghwan Hong
Seungryong Kim
42
26
0
06 Jun 2021
Self-Damaging Contrastive Learning
Self-Damaging Contrastive Learning
Ziyu Jiang
Tianlong Chen
Bobak J. Mortazavi
Zhangyang Wang
CLL
22
69
0
06 Jun 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei
Yue Gao
Zhirong Wu
Han Hu
Stephen Lin
ObjD
30
144
0
04 Jun 2021
Self-Supervised Learning of Domain Invariant Features for Depth
  Estimation
Self-Supervised Learning of Domain Invariant Features for Depth Estimation
Hiroyasu Akada
S. Bhat
Ibraheem Alhashim
Peter Wonka
OOD
SSL
MDE
36
15
0
04 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework
  for graphs
Graph Barlow Twins: A self-supervised representation learning framework for graphs
Piotr Bielak
Tomasz Kajdanowicz
Nitesh Chawla
SSL
21
135
0
04 Jun 2021
ASCNet: Self-supervised Video Representation Learning with
  Appearance-Speed Consistency
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency
Deng Huang
Wenhao Wu
Weiwen Hu
Xu Liu
Dongliang He
Zhihua Wu
Xiangmiao Wu
Ming Tan
Errui Ding
SSL
21
55
0
04 Jun 2021
Cross-Trajectory Representation Learning for Zero-Shot Generalization in
  RL
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL
Bogdan Mazoure
Ahmed M. Ahmed
Patrick MacAlpine
R. Devon Hjelm
Andrey Kolobov
35
27
0
04 Jun 2021
Improving Event Causality Identification via Self-Supervised
  Representation Learning on External Causal Statement
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement
Xinyu Zuo
Pengfei Cao
Yubo Chen
Kang Liu
Jun Zhao
Weihua Peng
Yuguang Chen
25
52
0
03 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and
  Contrastive Pre-Training
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli
Micah Goldblum
Avi Schwarzschild
C. Bayan Bruss
Tom Goldstein
LMTD
26
309
0
02 Jun 2021
Bootstrap Your Own Correspondences
Bootstrap Your Own Correspondences
Mohamed El Banani
Justin Johnson
3DPC
SSL
19
33
0
01 Jun 2021
NewsEmbed: Modeling News through Pre-trained Document Representations
NewsEmbed: Modeling News through Pre-trained Document Representations
Jialu Liu
Tianqi Liu
Cong Yu
VLM
179
12
0
01 Jun 2021
Exploring the Diversity and Invariance in Yourself for Visual
  Pre-Training Task
Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task
Longhui Wei
Lingxi Xie
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
27
3
0
01 Jun 2021
Toward Understanding the Feature Learning Process of Self-supervised
  Contrastive Learning
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
Zixin Wen
Yuanzhi Li
SSL
MLT
32
131
0
31 May 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Tianyu Pang
Huishuai Zhang
Di He
Yinpeng Dong
Hang Su
Wei Chen
Jun Zhu
Tie-Yan Liu
AAML
8
16
0
31 May 2021
Training Domain-invariant Object Detector Faster with Feature Replay and
  Slow Learner
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner
Chaehyeon Lee
Junghoon Seo
Heechul Jung
13
2
0
31 May 2021
Active Learning in Bayesian Neural Networks with Balanced Entropy
  Learning Principle
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle
J. Woo
44
11
0
30 May 2021
Diffusion-Based Representation Learning
Diffusion-Based Representation Learning
K. Abstreiter
Sarthak Mittal
Stefan Bauer
Bernhard Schölkopf
Arash Mehrjou
DiffM
35
57
0
29 May 2021
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