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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 / 3,817 papers shown
Title
Self-Supervision Closes the Gap Between Weak and Strong Supervision in
  Histology
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene
Axel Camara
O. Moindrot
Axel de Lavergne
P. Courtiol
13
68
0
07 Dec 2020
Fine-grained Angular Contrastive Learning with Coarse Labels
Fine-grained Angular Contrastive Learning with Coarse Labels
Guy Bukchin
Eli Schwartz
Kate Saenko
Ori Shahar
Rogerio Feris
Raja Giryes
Leonid Karlinsky
25
52
0
07 Dec 2020
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning
  For Interpretable Vision Models
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models
Dong Wang
Yuewei Yang
Chenyang Tao
Zhe Gan
Liqun Chen
Fanjie Kong
Ricardo Henao
Lawrence Carin
22
0
0
06 Dec 2020
FedSiam: Towards Adaptive Federated Semi-Supervised Learning
FedSiam: Towards Adaptive Federated Semi-Supervised Learning
Zewei Long
Liwei Che
Yaqing Wang
Muchao Ye
Junyu Luo
Jinze Wu
Houping Xiao
Fenglong Ma
FedML
18
16
0
06 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
6
12
0
04 Dec 2020
Super-Selfish: Self-Supervised Learning on Images with PyTorch
Super-Selfish: Self-Supervised Learning on Images with PyTorch
Nicolas Wagner
Anirban Mukhopadhyay
SSL
27
0
0
04 Dec 2020
Co-mining: Self-Supervised Learning for Sparsely Annotated Object
  Detection
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection
Tiancai Wang
Tong Yang
Jiale Cao
X. Zhang
17
47
0
03 Dec 2020
Message Passing Adaptive Resonance Theory for Online Active
  Semi-supervised Learning
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
Taehyeong Kim
Injune Hwang
Hyun-Dong Lee
Hyunseok Kim
Won-Seok Choi
Joseph J. Lim
Byoung-Tak Zhang
14
8
0
02 Dec 2020
About contrastive unsupervised representation learning for
  classification and its convergence
About contrastive unsupervised representation learning for classification and its convergence
Ibrahim Merad
Yiyang Yu
Emmanuel Bacry
Stéphane Gaïffas
SSL
18
1
0
02 Dec 2020
Towards Good Practices in Self-supervised Representation Learning
Towards Good Practices in Self-supervised Representation Learning
Srikar Appalaraju
Yi Zhu
Yusheng Xie
István Fehérvári
SSL
4
21
0
01 Dec 2020
Multi-level Knowledge Distillation via Knowledge Alignment and
  Correlation
Multi-level Knowledge Distillation via Knowledge Alignment and Correlation
Fei Ding
Yin Yang
Hongxin Hu
V. Krovi
Feng Luo
6
4
0
01 Dec 2020
Inductive Biases for Deep Learning of Higher-Level Cognition
Inductive Biases for Deep Learning of Higher-Level Cognition
Anirudh Goyal
Yoshua Bengio
AI4CE
18
344
0
30 Nov 2020
On Initial Pools for Deep Active Learning
On Initial Pools for Deep Active Learning
Akshay L Chandra
Sai Vikas Desai
Chaitanya Devaguptapu
V. Balasubramanian
19
19
0
30 Nov 2020
A Selective Survey on Versatile Knowledge Distillation Paradigm for
  Neural Network Models
A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models
J. Ku
Jihun Oh
Youngyoon Lee
Gaurav Pooniwala
Sangjeong Lee
18
3
0
30 Nov 2020
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient
  Disease Class, Sex, and Age
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
Dani Kiyasseh
T. Zhu
David A. Clifton
12
9
0
28 Nov 2020
PCPs: Patient Cardiac Prototypes
PCPs: Patient Cardiac Prototypes
Dani Kiyasseh
T. Zhu
David A. Clifton
15
1
0
28 Nov 2020
Self supervised contrastive learning for digital histopathology
Self supervised contrastive learning for digital histopathology
Ozan Ciga
Tony Xu
Anne L. Martel
SSL
103
305
0
27 Nov 2020
Self-EMD: Self-Supervised Object Detection without ImageNet
Self-EMD: Self-Supervised Object Detection without ImageNet
Songtao Liu
Zeming Li
Jian-jun Sun
SSL
ObjD
11
92
0
27 Nov 2020
Generalization in Reinforcement Learning by Soft Data Augmentation
Generalization in Reinforcement Learning by Soft Data Augmentation
Nicklas Hansen
Xiaolong Wang
OffRL
4
166
0
26 Nov 2020
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
H. Gouk
Timothy M. Hospedales
SSL
30
274
0
26 Nov 2020
A Unified Mixture-View Framework for Unsupervised Representation
  Learning
A Unified Mixture-View Framework for Unsupervised Representation Learning
Xiangxiang Chu
Xiaohang Zhan
Bo-Wen Zhang
SSL
12
1
0
26 Nov 2020
Evaluation of Out-of-Distribution Detection Performance of
  Self-Supervised Learning in a Controllable Environment
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment
Jeonghoon Park
Kyungmin Jo
Daehoon Gwak
Jimin Hong
Jaegul Choo
E. Choi
OODD
11
1
0
26 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
22
68
0
25 Nov 2020
Unsupervised Object Detection with LiDAR Clues
Unsupervised Object Detection with LiDAR Clues
Haofei Tian
Yuntao Chen
Jifeng Dai
Zhaoxiang Zhang
Xizhou Zhu
3DPC
25
28
0
25 Nov 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image
  Segmentation
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
Yutong Xie
Jianpeng Zhang
Zehui Liao
Yong-quan Xia
Chunhua Shen
13
46
0
25 Nov 2020
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human
  Pose Estimation
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
Rongchang Xie
Chunyu Wang
Wenjun Zeng
Yizhou Wang
SSL
3DH
11
26
0
25 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative
  Cancellation
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
11
165
0
23 Nov 2020
Ranking Neural Checkpoints
Ranking Neural Checkpoints
Yandong Li
Xuhui Jia
Ruoxin Sang
Yukun Zhu
Bradley Green
Liqiang Wang
Boqing Gong
FedML
ELM
UQCV
27
47
0
23 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
S. Hoi
SSL
19
252
0
23 Nov 2020
Run Away From your Teacher: Understanding BYOL by a Novel
  Self-Supervised Approach
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach
Haizhou Shi
Dongliang Luo
Siliang Tang
Jian Wang
Yueting Zhuang
SSL
13
13
0
22 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
14
3,949
0
20 Nov 2020
SLADE: A Self-Training Framework For Distance Metric Learning
SLADE: A Self-Training Framework For Distance Metric Learning
Jiali Duan
Yen-Liang Lin
Son N. Tran
Larry S. Davis
C.-C. Jay Kuo
14
11
0
20 Nov 2020
Efficient Conditional Pre-training for Transfer Learning
Efficient Conditional Pre-training for Transfer Learning
Shuvam Chakraborty
Burak Uzkent
Kumar Ayush
Kumar Tanmay
Evan Sheehan
Stefano Ermon
VLM
21
17
0
20 Nov 2020
Classification by Attention: Scene Graph Classification with Prior
  Knowledge
Classification by Attention: Scene Graph Classification with Prior Knowledge
Sahand Sharifzadeh
Sina Moayed Baharlou
Volker Tresp
OCL
14
50
0
19 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised
  Visual Representation Learning
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie
Yutong Lin
Zheng-Wei Zhang
Yue Cao
Stephen Lin
Han Hu
SSL
23
408
0
19 Nov 2020
Geography-Aware Self-Supervised Learning
Geography-Aware Self-Supervised Learning
Kumar Ayush
Burak Uzkent
Chenlin Meng
Kumar Tanmay
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
23
227
0
19 Nov 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for
  Compact Visual Representations
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Xinyue Huo
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Hao Li
Zijie Yang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
6
13
0
19 Nov 2020
FROST: Faster and more Robust One-shot Semi-supervised Training
Helena E. Liu
L. Smith
BDL
OffRL
29
1
0
18 Nov 2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
11
668
0
18 Nov 2020
UP-DETR: Unsupervised Pre-training for Object Detection with
  Transformers
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Zhigang Dai
Bolun Cai
Yugeng Lin
Junying Chen
ViT
27
22
0
18 Nov 2020
Contrastive Registration for Unsupervised Medical Image Segmentation
Contrastive Registration for Unsupervised Medical Image Segmentation
Lihao Liu
Angelica I Aviles-Rivero
Carola-Bibiane Schönlieb
19
37
0
17 Nov 2020
Neural Semi-supervised Learning for Text Classification Under
  Large-Scale Pretraining
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining
Zijun Sun
Chun Fan
Xiaofei Sun
Yuxian Meng
Fei Wu
Jiwei Li
17
9
0
17 Nov 2020
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
6
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
Xiao Wang
Wei Hu
Guo-Jun Qi
SSL
12
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
6
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
14
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
6
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
28
173
0
05 Nov 2020
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