Who Cited It

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

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Bootstrap your own latent: A new approach to self-supervised Learning (2020)Bootstrap your own latent: A …Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…A Fast Learning Algorithm for Deep Belief Nets (2006)A Fast Learning Algorithm for…A Simple Framework for Contrastive Learning of Visual Representations (2020)A Simple Framework for Contra…Continuous control with deep reinforcement learning (2015)Continuous control with deep …Semi-Supervised Learning (2006)Semi-Supervised LearningOn the difficulty of training Recurrent Neural Networks (2012)On the difficulty of training…Unsupervised Feature Learning via Non-parametric Instance Discrimination (2018)Unsupervised Feature Learning…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw… (2014)Learning and Transferring Mid…Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised … (2018)Virtual Adversarial Training:…Unsupervised Visual Representation Learning by Context Prediction (2015)Unsupervised Visual Represent…Stochastic Backpropagation and Approximate Inference in Deep Generative Models (2014)Stochastic Backpropagation an…Deep Clustering for Unsupervised Learning of Visual Features (2018)Deep Clustering for Unsupervi…FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence (2020)FixMatch: Simplifying Semi-Su…Introduction to Semi-Supervised Learning (2009)Introduction to Semi-Supervis…Emerging Properties in Self-Supervised Vision Transformers (2021)Emerging Properties in Self-S…Exploring Simple Siamese Representation Learning (2021)Exploring Simple Siamese Repr…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Model-Contrastive Federated Learning (2021)Model-Contrastive Federated L…
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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What this paper cites, inside the corpus

PaperYearCited
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…201524,404
A Fast Learning Algorithm for Deep Belief Nets200616,540
A Simple Framework for Contrastive Learning of Visual Representations20207,341
Continuous control with deep reinforcement learning20155,370
Semi-Supervised Learning20064,334
On the difficulty of training Recurrent Neural Networks20123,801
Unsupervised Feature Learning via Non-parametric Instance Discrimination20183,640
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Netw…20143,197
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised …20182,873
Unsupervised Visual Representation Learning by Context Prediction20152,699
Stochastic Backpropagation and Approximate Inference in Deep Generative Models20142,647
Deep Clustering for Unsupervised Learning of Visual Features20182,508
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence20202,271
Introduction to Semi-Supervised Learning20091,812

What cites it, inside the corpus

PaperYearCited
Emerging Properties in Self-Supervised Vision Transformers20215,394
Exploring Simple Siamese Representation Learning20213,438
On the Opportunities and Risks of Foundation Models20212,265
Model-Contrastive Federated Learning20211,485

Links

DOI · Open access copy · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Machine Learning and Data ClassificationComputer Science
Generative Adversarial Networks and Image SynthesisComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • 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.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…