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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
Can Semantic Labels Assist Self-Supervised Visual Representation
  Learning?
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?
Longhui Wei
Lingxi Xie
Jianzhong He
Jianlong Chang
Xiaopeng Zhang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
22
25
0
17 Nov 2020
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised
  Representations from Self-Trained Negative Adversaries
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Q. Hu
Tianlin Li
Wei Hu
Guo-Jun Qi
SSL
17
151
0
17 Nov 2020
Combining Self-Supervised and Supervised Learning with Noisy Labels
Combining Self-Supervised and Supervised Learning with Noisy Labels
Yongqi Zhang
Hui Zhang
Quanming Yao
Jun Wan
NoLa
SSL
8
0
0
16 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental
  Study in Manipulation and Navigation
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
B. Chen
Alexander Sax
Gene Lewis
Iro Armeni
Silvio Savarese
Amir Zamir
Jitendra Malik
Lerrel Pinto
16
42
0
13 Nov 2020
Transformers for One-Shot Visual Imitation
Transformers for One-Shot Visual Imitation
Sudeep Dasari
Abhinav Gupta
LM&Ro
29
90
0
11 Nov 2020
Self-supervised Graph Representation Learning via Bootstrapping
Self-supervised Graph Representation Learning via Bootstrapping
Feihu Che
Guohua Yang
Dawei Zhang
J. Tao
Pengpeng Shao
Tong Liu
SSL
8
23
0
10 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
15
115
0
09 Nov 2020
Intriguing Properties of Contrastive Losses
Intriguing Properties of Contrastive Losses
Ting Chen
Calvin Luo
Lala Li
36
173
0
05 Nov 2020
Center-wise Local Image Mixture For Contrastive Representation Learning
Center-wise Local Image Mixture For Contrastive Representation Learning
Hao Li
Xiaopeng Zhang
H. Xiong
18
8
0
05 Nov 2020
Learning and Evaluating Representations for Deep One-class
  Classification
Learning and Evaluating Representations for Deep One-class Classification
Kihyuk Sohn
Chun-Liang Li
Jinsung Yoon
Minho Jin
Tomas Pfister
SSL
6
199
0
04 Nov 2020
Federated Knowledge Distillation
Federated Knowledge Distillation
Hyowoon Seo
Jihong Park
Seungeun Oh
M. Bennis
Seong-Lyun Kim
FedML
31
91
0
04 Nov 2020
Learning Visual Representations for Transfer Learning by Suppressing
  Texture
Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Janit Anjaria
Jonghyun Choi
Abhinav Shrivastava
Abhishek Sharma
David Jacobs
SSL
39
11
0
03 Nov 2020
Representation Matters: Improving Perception and Exploration for
  Robotics
Representation Matters: Improving Perception and Exploration for Robotics
Markus Wulfmeier
Arunkumar Byravan
Tim Hertweck
I. Higgins
Ankush Gupta
...
Malcolm Reynolds
Denis Teplyashin
Roland Hafner
Thomas Lampe
Martin Riedmiller
31
15
0
03 Nov 2020
Pretext-Contrastive Learning: Toward Good Practices in Self-supervised
  Video Representation Leaning
Pretext-Contrastive Learning: Toward Good Practices in Self-supervised Video Representation Leaning
L. Tao
Xueting Wang
T. Yamasaki
VLM
SSL
23
14
0
29 Oct 2020
Representation learning for improved interpretability and classification
  accuracy of clinical factors from EEG
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Garrett Honke
I. Higgins
Nina N. Thigpen
V. Miskovic
Katie Link
Sunny Duan
Pramod Gupta
Julia Klawohn
G. Hajcak
25
6
0
28 Oct 2020
CompRess: Self-Supervised Learning by Compressing Representations
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
23
89
0
28 Oct 2020
Iterative Graph Self-Distillation
Iterative Graph Self-Distillation
Hanlin Zhang
Shuai Lin
Weiyang Liu
Pan Zhou
Jian Tang
Xiaodan Liang
Eric P. Xing
SSL
57
33
0
23 Oct 2020
SlimIPL: Language-Model-Free Iterative Pseudo-Labeling
SlimIPL: Language-Model-Free Iterative Pseudo-Labeling
Tatiana Likhomanenko
Qiantong Xu
Jacob Kahn
Gabriel Synnaeve
R. Collobert
VLM
21
61
0
22 Oct 2020
Contrastive Learning of General-Purpose Audio Representations
Contrastive Learning of General-Purpose Audio Representations
Aaqib Saeed
David Grangier
Neil Zeghidour
VLM
SSL
18
262
0
21 Oct 2020
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
250
114
0
20 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
118
56
0
19 Oct 2020
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation
  Learning
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Kibok Lee
Yian Zhu
Kihyuk Sohn
Chun-Liang Li
Jinwoo Shin
Honglak Lee
SSL
33
26
0
17 Oct 2020
Representation Learning via Invariant Causal Mechanisms
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrović
Brian McWilliams
Jacob Walker
Lars Buesing
Charles Blundell
CML
OOD
SSL
31
247
0
15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
28
64
0
14 Oct 2020
Self-Supervised Ranking for Representation Learning
Self-Supervised Ranking for Representation Learning
Ali Varamesh
Ali Diba
Tinne Tuytelaars
Luc Van Gool
SSL
AI4TS
26
9
0
14 Oct 2020
Are all negatives created equal in contrastive instance discrimination?
Are all negatives created equal in contrastive instance discrimination?
Tiffany Cai
Jonathan Frankle
D. Schwab
Ari S. Morcos
SSL
8
81
0
13 Oct 2020
MixCo: Mix-up Contrastive Learning for Visual Representation
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
112
80
0
13 Oct 2020
A Practical Tutorial on Graph Neural Networks
A Practical Tutorial on Graph Neural Networks
I. Ward
J. Joyner
C. Lickfold
Yulan Guo
Bennamoun
GNN
AI4CE
24
12
0
11 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
175
685
0
10 Oct 2020
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled
  Data
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei
Kendrick Shen
Yining Chen
Tengyu Ma
SSL
23
224
0
07 Oct 2020
Representation Learning for Sequence Data with Deep Autoencoding
  Predictive Components
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai
Weiran Wang
Yingbo Zhou
Caiming Xiong
SSL
AI4TS
27
12
0
07 Oct 2020
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Z. Chen
Subhransu Maji
Erik Learned-Miller
SSL
VLM
21
20
0
06 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
36
62
0
05 Oct 2020
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
48
810
0
05 Oct 2020
A Simple Framework for Uncertainty in Contrastive Learning
A Simple Framework for Uncertainty in Contrastive Learning
Mike Wu
Noah D. Goodman
UQCV
28
18
0
05 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual
  Representations
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu
Milan Mossé
Chengxu Zhuang
Daniel L. K. Yamins
Noah D. Goodman
SSL
36
77
0
05 Oct 2020
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
EqCo: Equivalent Rules for Self-supervised Contrastive Learning
Benjin Zhu
Junqiang Huang
Zeming Li
Xiangyu Zhang
Jian Sun
SSL
22
13
0
05 Oct 2020
Consensus Clustering With Unsupervised Representation Learning
Consensus Clustering With Unsupervised Representation Learning
Jayanth Reddy Regatti
A. Deshmukh
Eren Manavoglu
Ürün Dogan
OOD
SSL
26
20
0
03 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
38
628
0
02 Oct 2020
Contrastive Learning of Medical Visual Representations from Paired
  Images and Text
Contrastive Learning of Medical Visual Representations from Paired Images and Text
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
MedIm
32
731
0
02 Oct 2020
Understanding Self-supervised Learning with Dual Deep Networks
Understanding Self-supervised Learning with Dual Deep Networks
Yuandong Tian
Lantao Yu
Xinlei Chen
Surya Ganguli
SSL
13
78
0
01 Oct 2020
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection
  via Pseudo Labelling
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling
Souradip Chakraborty
A. R. Gosthipaty
Sayak Paul
SSL
11
16
0
25 Sep 2020
Contrastive Clustering
Contrastive Clustering
Yunfan Li
Peng Hu
Zitao Liu
Dezhong Peng
Qiufeng Wang
Xi Peng
15
607
0
21 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li
Caiming Xiong
S. Hoi
26
94
0
17 Sep 2020
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
Langevin Cooling for Domain Translation
Langevin Cooling for Domain Translation
Vignesh Srinivasan
Klaus-Robert Muller
Wojciech Samek
Shinichi Nakajima
44
1
0
31 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
VLM
21
58
0
26 Aug 2020
Learning Node Representations against Perturbations
Learning Node Representations against Perturbations
Xu Chen
Yuangang Pan
Ivor Tsang
Ya-Qin Zhang
19
3
0
26 Aug 2020
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Evgenii Zheltonozhskii
Chaim Baskin
A. Bronstein
A. Mendelson
SSL
14
10
0
24 Aug 2020
False Detection (Positives and Negatives) in Object Detection
False Detection (Positives and Negatives) in Object Detection
Subrata Goswami
ObjD
22
5
0
16 Aug 2020
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