Bootstrap your own latent: A new approach to self-supervised Learning

Jean-Bastien Grill; Florian Strub; Florent Altché; Corentin Tallec; Pierre H. Richemond; Elena Buchatskaya; Carl Doersch; Bernardo Ávila Pires; Zhaohan Daniel Guo; Mohammad Gheshlaghi Azar; Bilal Piot; Koray Kavukcuoglu; Rémi Munos; Michal Valko

doi:https://doi.org/10.48550/arxiv.2006.07733

Bootstrap your own latent: A new approach to self-supervised Learning

2020 · arXiv (Cornell University) · 3,447 citations · 4 from inside this corpus

Jean-Bastien Grill low, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond low, Elena Buchatskaya low, Carl Doersch, Bernardo Ávila Pires low, Zhaohan Daniel Guo low, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos low, Michal Valko

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19 of 19 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

Emerging Properties in Self-Supervised Vision Transformers→Bootstrap your own latent: A new approach to self-supervised LearningLegacy edge — source detail unavailable
Exploring Simple Siamese Representation Learning→Bootstrap your own latent: A new approach to self-supervised LearningLegacy edge — source detail unavailable
On the Opportunities and Risks of Foundation Models→Bootstrap your own latent: A new approach to self-supervised LearningLegacy edge — source detail unavailable
Model-Contrastive Federated Learning→Bootstrap your own latent: A new approach to self-supervised LearningLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→A Simple Framework for Contrastive Learning of Visual RepresentationsLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Continuous control with deep reinforcement learningLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Semi-Supervised LearningLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→On the difficulty of training Recurrent Neural NetworksLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Unsupervised Feature Learning via Non-parametric Instance DiscriminationLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…Legacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised …Legacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Unsupervised Visual Representation Learning by Context PredictionLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Deep Clustering for Unsupervised Learning of Visual FeaturesLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceLegacy edge — source detail unavailable
Bootstrap your own latent: A new approach to self-supervised Learning→Introduction to Semi-Supervised LearningLegacy edge — source detail unavailable
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…→On the difficulty of training Recurrent Neural NetworksLegacy edge — source detail unavailable
Introduction to Semi-Supervised Learning→Semi-Supervised LearningLegacy edge — source detail unavailable
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
Unsupervised Feature Learning via Non-parametric Instance Discrimination→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
Unsupervised Feature Learning via Non-parametric Instance Discrimination→Unsupervised Visual Representation Learning by Context PredictionLegacy edge — source detail unavailable
Deep Clustering for Unsupervised Learning of Visual Features→Unsupervised Visual Representation Learning by Context PredictionLegacy edge — source detail unavailable
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised …→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence→Semi-Supervised LearningLegacy edge — source detail unavailable
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence→Introduction to Semi-Supervised LearningLegacy edge — source detail unavailable
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence→Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised …Legacy edge — source detail unavailable
A Simple Framework for Contrastive Learning of Visual Representations→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
A Simple Framework for Contrastive Learning of Visual Representations→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
A Simple Framework for Contrastive Learning of Visual Representations→Unsupervised Feature Learning via Non-parametric Instance DiscriminationLegacy edge — source detail unavailable
A Simple Framework for Contrastive Learning of Visual Representations→FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidenceLegacy edge — source detail unavailable
A Simple Framework for Contrastive Learning of Visual Representations→Unsupervised Visual Representation Learning by Context PredictionLegacy edge — source detail unavailable
Emerging Properties in Self-Supervised Vision Transformers→Unsupervised Feature Learning via Non-parametric Instance DiscriminationLegacy edge — source detail unavailable
Emerging Properties in Self-Supervised Vision Transformers→Deep Clustering for Unsupervised Learning of Visual FeaturesLegacy edge — source detail unavailable
Emerging Properties in Self-Supervised Vision Transformers→A Simple Framework for Contrastive Learning of Visual RepresentationsLegacy edge — source detail unavailable
Emerging Properties in Self-Supervised Vision Transformers→Exploring Simple Siamese Representation LearningLegacy edge — source detail unavailable
Exploring Simple Siamese Representation Learning→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
Exploring Simple Siamese Representation Learning→Unsupervised Feature Learning via Non-parametric Instance DiscriminationLegacy edge — source detail unavailable
Exploring Simple Siamese Representation Learning→Deep Clustering for Unsupervised Learning of Visual FeaturesLegacy edge — source detail unavailable
Exploring Simple Siamese Representation Learning→A Simple Framework for Contrastive Learning of Visual RepresentationsLegacy edge — source detail unavailable
Model-Contrastive Federated Learning→A Simple Framework for Contrastive Learning of Visual RepresentationsLegacy edge — source detail unavailable
On the Opportunities and Risks of Foundation Models→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable
On the Opportunities and Risks of Foundation Models→Unsupervised Feature Learning via Non-parametric Instance DiscriminationLegacy edge — source detail unavailable
Unsupervised Visual Representation Learning by Context Prediction→Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…Legacy edge — source detail unavailable
Unsupervised Visual Representation Learning by Context Prediction→Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsLegacy edge — source detail unavailable
Unsupervised Visual Representation Learning by Context Prediction→A Fast Learning Algorithm for Deep Belief NetsLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…	2015	24,404
A Fast Learning Algorithm for Deep Belief Nets	2006	16,540
A Simple Framework for Contrastive Learning of Visual Representations	2020	7,341
Continuous control with deep reinforcement learning	2015	5,370
Semi-Supervised Learning	2006	4,334
On the difficulty of training Recurrent Neural Networks	2012	3,801
Unsupervised Feature Learning via Non-parametric Instance Discrimination	2018	3,640
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition	2013	3,564
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…	2014	3,197
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised …	2018	2,873
Unsupervised Visual Representation Learning by Context Prediction	2015	2,699
Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	2,647
Deep Clustering for Unsupervised Learning of Visual Features	2018	2,508
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence	2020	2,271
Introduction to Semi-Supervised Learning	2009	1,812

What cites it, inside the corpus

Paper	Year	Cited
Emerging Properties in Self-Supervised Vision Transformers	2021	5,394
Exploring Simple Siamese Representation Learning	2021	3,438
On the Opportunities and Risks of Foundation Models	2021	2,265
Model-Contrastive Federated Learning	2021	1,485

Links

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Topics

Domain Adaptation and Few-Shot Learning	Computer Science
Machine Learning and Data Classification	Computer Science
Generative Adversarial Networks and Image Synthesis	Computer Science

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supports14 author record(s) attached.
supports98 reference(s) recorded.
weakensThe DOI names 2006 but the record dates this to 2,020. One of the two is about a different paper.
supportsA title is present.

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