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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 / 3,830 papers shown
Title
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face
  Recognition
KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition
Chingis Oinar
B. Le
Simon S. Woo
CVBM
31
112
0
19 Jan 2022
TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval
TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval
Yue Ruan
Han-Hung Lee
Yiming Zhang
Ke Zhang
Angel X. Chang
37
22
0
19 Jan 2022
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture
  Representation of Chest Radiographs
Lung Swapping Autoencoder: Learning a Disentangled Structure-texture Representation of Chest Radiographs
Lei Zhou
Joseph Bae
Huidong Liu
Gagandeep Singh
Jeremy Green
Amit Gupta
Dimitris Samaras
Prateek Prasanna
OOD
MedIm
14
6
0
18 Jan 2022
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery
  Detection
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection
A. Haliassos
Rodrigo Mira
Stavros Petridis
Maja Pantic
CVBM
45
127
0
18 Jan 2022
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly
  Supervised Semantic Segmentation
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation
Kun Yuan
Gerald Schaefer
Yu-kun Lai
Yifan Wang
Xiyao Liu
Lin Guan
Hui Fang
40
1
0
18 Jan 2022
Accelerating Representation Learning with View-Consistent Dynamics in
  Data-Efficient Reinforcement Learning
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Tao Huang
Jiacheng Wang
Xiao Chen
43
4
0
18 Jan 2022
RePre: Improving Self-Supervised Vision Transformer with Reconstructive
  Pre-training
RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training
Luyang Wang
Feng Liang
Yangguang Li
Honggang Zhang
Wanli Ouyang
Jing Shao
ViT
39
24
0
18 Jan 2022
Self-Supervised Anomaly Detection by Self-Distillation and Negative
  Sampling
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling
Nima Rafiee
Rahil Gholamipoorfard
Nikolas Adaloglou
Simon Jaxy
Julius Ramakers
M. Kollmann
OODD
25
8
0
17 Jan 2022
Towards Unsupervised Deep Graph Structure Learning
Towards Unsupervised Deep Graph Structure Learning
Yixin Liu
Yu Zheng
Daokun Zhang
Hongxu Chen
Hao Peng
Shirui Pan
39
185
0
17 Jan 2022
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
The CLEAR Benchmark: Continual LEArning on Real-World Imagery
Zhiqiu Lin
Jia Shi
Deepak Pathak
Deva Ramanan
CLL
VLM
151
92
0
17 Jan 2022
Contrastive Pretraining for Echocardiography Segmentation with Limited
  Data
Contrastive Pretraining for Echocardiography Segmentation with Limited Data
M. Saeed
Rand Muhtaseb
Mohammad Yaqub
27
25
0
16 Jan 2022
Video Transformers: A Survey
Video Transformers: A Survey
Javier Selva
A. S. Johansen
Sergio Escalera
Kamal Nasrollahi
T. Moeslund
Albert Clapés
ViT
29
103
0
16 Jan 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning
Yupei Liu
Jinyuan Jia
Hongbin Liu
Neil Zhenqiang Gong
MIACV
27
24
0
15 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
43
102
0
15 Jan 2022
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised
  Knowledge Distillation
SimReg: Regression as a Simple Yet Effective Tool for Self-supervised Knowledge Distillation
K. Navaneet
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
23
19
0
13 Jan 2022
Pushing the limits of self-supervised ResNets: Can we outperform
  supervised learning without labels on ImageNet?
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?
Nenad Tomašev
Ioana Bica
Brian McWilliams
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
103
81
0
13 Jan 2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Daiqing Li
Huan Ling
Seung Wook Kim
Karsten Kreis
Adela Barriuso
Sanja Fidler
Antonio Torralba
43
104
0
12 Jan 2022
Multi-task Joint Strategies of Self-supervised Representation Learning
  on Biomedical Networks for Drug Discovery
Multi-task Joint Strategies of Self-supervised Representation Learning on Biomedical Networks for Drug Discovery
Xiaoqi Wang
Yingjie Cheng
Yaning Yang
Yue Yu
Fei Li
Shaoliang Peng
28
41
0
12 Jan 2022
Robust Contrastive Learning against Noisy Views
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Eric Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
16
68
0
12 Jan 2022
Bootstrapping Informative Graph Augmentation via A Meta Learning
  Approach
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach
Hang Gao
Jiangmeng Li
Jingyao Wang
Hui Xiong
Gang Hua
Changwen Zheng
28
11
0
11 Jan 2022
Self-Supervised Approach to Addressing Zero-Shot Learning Problem
Self-Supervised Approach to Addressing Zero-Shot Learning Problem
Ademola Okerinde
Sam Hoggatt
Divya Vani Lakkireddy
Nolan Brubaker
William H. Hsu
L. Shamir
Brian Spiesman
SSL
VLM
22
2
0
05 Jan 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks
Sound and Visual Representation Learning with Multiple Pretraining Tasks
A. Vasudevan
Dengxin Dai
Luc Van Gool
SSL
43
6
0
04 Jan 2022
Uncovering the Over-smoothing Challenge in Image Super-Resolution:
  Entropy-based Quantification and Contrastive Optimization
Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization
Tianshuo Xu
Lijiang Li
Peng Mi
Xiawu Zheng
Rongrong Ji
G. Jiang
Yiyi Zhou
Wei Zhang
SupR
29
6
0
04 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate Shift
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
48
68
0
31 Dec 2021
Representation Learning via Consistent Assignment of Views to Clusters
Representation Learning via Consistent Assignment of Views to Clusters
T. Silva
Adín Ramirez Rivera
SSL
25
9
0
31 Dec 2021
Continually Learning Self-Supervised Representations with Projected
  Functional Regularization
Continually Learning Self-Supervised Representations with Projected Functional Regularization
Alex Gomez-Villa
Bartlomiej Twardowski
Lu Yu
Andrew D. Bagdanov
Joost van de Weijer
CLL
SSL
28
37
0
30 Dec 2021
Contrastive Fine-grained Class Clustering via Generative Adversarial
  Networks
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks
Yunji Kim
Jung-Woo Ha
GAN
27
13
0
30 Dec 2021
Deep Graph Clustering via Dual Correlation Reduction
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu
Wenxuan Tu
Sihang Zhou
Xinwang Liu
Linxuan Song
Xihong Yang
En Zhu
27
202
0
29 Dec 2021
Recursive Least-Squares Estimator-Aided Online Learning for Visual
  Tracking
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking
Jin Gao
Yan Lu
Xiaojuan Qi
Yutong Kou
Bing Li
Liang Li
Shan Yu
Weiming Hu
16
2
0
28 Dec 2021
A Fistful of Words: Learning Transferable Visual Models from
  Bag-of-Words Supervision
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision
Ajinkya Tejankar
Maziar Sanjabi
Bichen Wu
Saining Xie
Madian Khabsa
Hamed Pirsiavash
Hamed Firooz
VLM
42
17
0
27 Dec 2021
Disentanglement by Cyclic Reconstruction
Disentanglement by Cyclic Reconstruction
David Bertoin
Emmanuel Rachelson
OOD
26
4
0
24 Dec 2021
SLIP: Self-supervision meets Language-Image Pre-training
SLIP: Self-supervision meets Language-Image Pre-training
Norman Mu
Alexander Kirillov
David Wagner
Saining Xie
VLM
CLIP
63
483
0
23 Dec 2021
Physics Constrained Flow Neural Network for Short-Timescale Predictions
  in Data Communications Networks
Physics Constrained Flow Neural Network for Short-Timescale Predictions in Data Communications Networks
Xiangle Cheng
James He
Shihan Xiao
Yingxue Zhang
Zhitang Chen
Pascal Poupart
Fenglin Li
PINN
AI4CE
267
0
0
23 Dec 2021
Improved skin lesion recognition by a Self-Supervised Curricular Deep
  Learning approach
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach
Kirill Sirotkin
Marcos Escudero-Viñolo
Pablo Carballeira
Juan C. Sanmiguel
SSL
39
6
0
22 Dec 2021
Barely-Supervised Learning: Semi-Supervised Learning with very few
  labeled images
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images
Thomas Lucas
Philippe Weinzaepfel
Grégory Rogez
SSL
38
30
0
22 Dec 2021
Simple and Effective Balance of Contrastive Losses
Simple and Effective Balance of Contrastive Losses
Arnaud Sors
Rafael Sampaio de Rezende
Sarah Ibrahimi
J. Andreoli
SSL
30
1
0
22 Dec 2021
Max-Margin Contrastive Learning
Max-Margin Contrastive Learning
Anshul B. Shah
S. Sra
Ramalingam Chellappa
A. Cherian
SSL
37
44
0
21 Dec 2021
Augmented Contrastive Self-Supervised Learning for Audio Invariant
  Representations
Augmented Contrastive Self-Supervised Learning for Audio Invariant Representations
M Motavali Emami
Dung T. Tran
K. Koishida
SSL
36
2
0
21 Dec 2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
29
150
0
20 Dec 2021
Learning with Label Noise for Image Retrieval by Selecting Interactions
Learning with Label Noise for Image Retrieval by Selecting Interactions
Sarah Ibrahimi
Arnaud Sors
Rafael Sampaio de Rezende
Stéphane Clinchant
NoLa
VLM
27
16
0
20 Dec 2021
Information-theoretic stochastic contrastive conditional GAN:
  InfoSCC-GAN
Information-theoretic stochastic contrastive conditional GAN: InfoSCC-GAN
Vitaliy Kinakh
M. Drozdova
Guillaume Quétant
T. Golling
Svyatoslav Voloshynovskiy
GAN
19
0
0
17 Dec 2021
Watermarking Images in Self-Supervised Latent Spaces
Watermarking Images in Self-Supervised Latent Spaces
Pierre Fernandez
Alexandre Sablayrolles
Teddy Furon
Hervé Jégou
Matthijs Douze
WIGM
34
83
0
17 Dec 2021
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained
  Siamese Transformers
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers
Lin Liu
Shanxin Yuan
Jianzhuang Liu
Xintao Guo
Youliang Yan
Qi Tian
ViT
28
12
0
17 Dec 2021
UniMiSS: Universal Medical Self-Supervised Learning via Breaking
  Dimensionality Barrier
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier
Yutong Xie
Jianpeng Zhang
Yong-quan Xia
Qi Wu
MedIm
74
63
0
17 Dec 2021
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Sparse Coding with Multi-Layer Decoders using Variance Regularization
Katrina Evtimova
Yann LeCun
BDL
OffRL
18
9
0
16 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes
Randall Balestriero
Pascal Vincent
DiffM
25
61
0
16 Dec 2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
105
657
0
16 Dec 2021
Human Hands as Probes for Interactive Object Understanding
Human Hands as Probes for Interactive Object Understanding
Mohit Goyal
Sahil Modi
Rishabh Goyal
Saurabh Gupta
29
48
0
16 Dec 2021
RegionCLIP: Region-based Language-Image Pretraining
RegionCLIP: Region-based Language-Image Pretraining
Yiwu Zhong
Jianwei Yang
Pengchuan Zhang
Chunyuan Li
Noel Codella
...
Luowei Zhou
Xiyang Dai
Lu Yuan
Yin Li
Jianfeng Gao
VLM
CLIP
40
559
0
16 Dec 2021
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning
  for Self-supervised Speaker Verification
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification
Sung Hwan Mun
Min Hyun Han
Dongjune Lee
Jihwan Kim
N. Kim
SSL
48
3
0
16 Dec 2021
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