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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
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
...
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
AI4TS
17
56
0
19 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu
Chih-Yao Ma
Zijian He
Chia-Wen Kuo
Kan Chen
Peizhao Zhang
Bichen Wu
Z. Kira
Peter Vajda
48
472
0
18 Feb 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural
  Networks via Guided Distribution Calibration
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
UQCV
SSL
MQ
246
22
0
17 Feb 2021
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection Pretraining
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViT
SSL
100
145
0
16 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
16
43
0
13 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via
  Contrast-Regularized Fine-Tuning
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Yifan Zhang
Bryan Hooi
Dapeng Hu
Jian Liang
Jiashi Feng
71
64
0
12 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping
Large-Scale Representation Learning on Graphs via Bootstrapping
S. Thakoor
Corentin Tallec
M. G. Azar
Mehdi Azabou
Eva L. Dyer
Rémi Munos
Petar Velivcković
Michal Valko
SSL
13
215
0
12 Feb 2021
Self-Supervised Multisensor Change Detection
Self-Supervised Multisensor Change Detection
Sudipan Saha
Patrick Ebel
Xiaoxiang Zhu
SSL
10
80
0
12 Feb 2021
Deep Learning with Label Differential Privacy
Deep Learning with Label Differential Privacy
Badih Ghazi
Noah Golowich
Ravi Kumar
Pasin Manurangsi
Chiyuan Zhang
39
144
0
11 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
295
3,693
0
11 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
19
317
0
09 Feb 2021
Improving Scene Graph Classification by Exploiting Knowledge from Texts
Improving Scene Graph Classification by Exploiting Knowledge from Texts
Sahand Sharifzadeh
Sina Moayed Baharlou
Martin Schmitt
Hinrich Schutze
Volker Tresp
10
17
0
09 Feb 2021
Contrastive Embeddings for Neural Architectures
Contrastive Embeddings for Neural Architectures
Daniel Hesslow
Iacopo Poli
15
4
0
08 Feb 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
41
202
0
28 Jan 2021
Neural Architecture Search with Random Labels
Neural Architecture Search with Random Labels
Xuanyang Zhang
Pengfei Hou
X. Zhang
Jian-jun Sun
11
52
0
28 Jan 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
275
979
0
27 Jan 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for
  Domain Adaptive Semantic Segmentation
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Yong Wang
Fang Wen
25
493
0
26 Jan 2021
Understanding and Achieving Efficient Robustness with Adversarial
  Supervised Contrastive Learning
Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning
Anh-Vu Bui
Trung Le
He Zhao
Paul Montague
S. Çamtepe
Dinh Q. Phung
AAML
13
14
0
25 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
N. Simard
Guillaume Lagrange
SSL
11
5
0
24 Jan 2021
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
Lang Huang
Chaoning Zhang
Hongyang R. Zhang
SSL
20
24
0
21 Jan 2021
Characterizing signal propagation to close the performance gap in
  unnormalized ResNets
Characterizing signal propagation to close the performance gap in unnormalized ResNets
Andrew Brock
Soham De
Samuel L. Smith
26
120
0
21 Jan 2021
Learning rich touch representations through cross-modal self-supervision
Learning rich touch representations through cross-modal self-supervision
Martina Zambelli
Y. Aytar
Francesco Visin
Yuxiang Zhou
R. Hadsell
SSL
26
16
0
21 Jan 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Z. Tu
Stefano Soatto
34
118
0
21 Jan 2021
TCLR: Temporal Contrastive Learning for Video Representation
TCLR: Temporal Contrastive Learning for Video Representation
I. Dave
Rohit Gupta
Mamshad Nayeem Rizve
Mubarak Shah
SSL
AI4TS
21
174
0
20 Jan 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning
Huixiang Luo
Hao Cheng
Fanxu Meng
Yuting Gao
Ke Li
Mengdan Zhang
Xing Sun
17
8
0
19 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian-jun Sun
40
16
0
19 Jan 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
Atin Ghosh
Alexandre Hoang Thiery
63
20
0
18 Jan 2021
Self-Supervised Representation Learning from Flow Equivariance
Self-Supervised Representation Learning from Flow Equivariance
Yuwen Xiong
Mengye Ren
Wenyuan Zeng
R. Urtasun
SSL
16
28
0
16 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
212
508
0
15 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
234
190
0
12 Jan 2021
Explicit homography estimation improves contrastive self-supervised
  learning
Explicit homography estimation improves contrastive self-supervised learning
David Torpey
Richard Klein
SSL
13
0
0
12 Jan 2021
Take More Positives: An Empirical Study of Contrastive Learing in
  Unsupervised Person Re-Identification
Take More Positives: An Empirical Study of Contrastive Learing in Unsupervised Person Re-Identification
Xuanyu He
Wei Emma Zhang
Ran Song
Qian Zhang
X. Lan
Lin Ma
30
1
0
12 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
227
2,428
0
04 Jan 2021
Temporal Contrastive Graph Learning for Video Action Recognition and
  Retrieval
Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval
Y. Liu
Keze Wang
Haoyuan Lan
Liang Lin
16
16
0
04 Jan 2021
Self-Supervised Multimodal Domino: in Search of Biomarkers for
  Alzheimer's Disease
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease
A. Fedorov
Tristan Sylvain
Eloy P. T. Geenjaar
Margaux Luck
Lei Wu
T. DeRamus
Alex Kirilin
Dmitry Bleklov
Vince D. Calhoun
Sergey Plis
SSL
15
13
0
25 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual
  Representations
Self-supervised Pre-training with Hard Examples Improves Visual Representations
Chunyuan Li
Xiujun Li
Lei Zhang
Baolin Peng
Mingyuan Zhou
Jianfeng Gao
SSL
19
24
0
25 Dec 2020
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for
  RGB-D Scene Understanding
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Yunze Liu
Li Yi
Shanghang Zhang
Qingnan Fan
Thomas Funkhouser
Hao Dong
SSL
21
58
0
24 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
Spyros Gidaris
Andrei Bursuc
Gilles Puy
N. Komodakis
Matthieu Cord
P. Pérez
SSL
22
70
0
21 Dec 2020
Addressing Feature Suppression in Unsupervised Visual Representations
Addressing Feature Suppression in Unsupervised Visual Representations
Tianhong Li
Lijie Fan
Yuan. Yuan
Hao He
Yonglong Tian
Rogerio Feris
Piotr Indyk
Dina Katabi
SSL
30
15
0
17 Dec 2020
ISD: Self-Supervised Learning by Iterative Similarity Distillation
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Vipin Pillai
Paolo Favaro
Hamed Pirsiavash
SSL
11
44
0
16 Dec 2020
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene
  Contexts
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Ji Hou
Benjamin Graham
Matthias Nießner
Saining Xie
3DPC
37
263
0
16 Dec 2020
Learning Category-level Shape Saliency via Deep Implicit Surface
  Networks
Learning Category-level Shape Saliency via Deep Implicit Surface Networks
Chaozheng Wu
Lin Sun
Xun Xu
K. Jia
3DPC
10
0
0
14 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error Maximization
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
24
29
0
14 Dec 2020
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D
  Human Pose Estimation
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation
Kun Zhang
Rui Wu
Ping Yao
Kai Deng
Ding Li
Renbiao Liu
Chuanguang Yang
Ge Chen
Min Du
Tianyao Zheng
3DH
13
1
0
13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
10
122
0
12 Dec 2020
Are Fewer Labels Possible for Few-shot Learning?
Are Fewer Labels Possible for Few-shot Learning?
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
L. Zhang
Qi Chu
Nenghai Yu
SSL
21
3
0
10 Dec 2020
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
21
50
0
10 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
22
79
0
08 Dec 2020
Unsupervised Pre-training for Person Re-identification
Unsupervised Pre-training for Person Re-identification
Dengpan Fu
Dongdong Chen
Jianmin Bao
Hao-Yu Yang
Lu Yuan
Lei Zhang
Houqiang Li
Dong Chen
26
133
0
07 Dec 2020
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