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2006.07733
Cited By
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"
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Title
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0
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Motion-aware Contrastive Video Representation Learning via Foreground-background Merging
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Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks
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0
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Localizing Objects with Self-Supervised Transformers and no Labels
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Huy V. Vo
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0
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PASS: An ImageNet replacement for self-supervised pretraining without humans
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28
57
0
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Cluster Analysis with Deep Embeddings and Contrastive Learning
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How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?
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Homography augumented momentum constrastive learning for SAR image retrieval
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M. Rysz
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37
9
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Université Laval
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1
0
20 Sep 2021
Socially Supervised Representation Learning: the Role of Subjectivity in Learning Efficient Representations
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19
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20 Sep 2021
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Dense Semantic Contrast for Self-Supervised Visual Representation Learning
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Deep Bregman Divergence for Contrastive Learning of Visual Representations
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Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
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Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
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43
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0
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Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories
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Ravi Teja Mullapudi
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W. Mark
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Kayvon Fatahalian
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Online Unsupervised Learning of Visual Representations and Categories
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SphereFace Revived: Unifying Hyperspherical Face Recognition
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TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
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10 Sep 2021
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