Who Cited It

Momentum Contrast for Unsupervised Visual Representation Learning

2020 · 12,515 citations · 6 from inside this corpus

Kaiming He, Haoqi Fan low, Yuxin Wu, Saining Xie, Ross Girshick

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.

Momentum Contrast for Unsupervised Visual Representation Learning (2020)Momentum Contrast for Unsuper…AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S… (2018)AI-Assisted Pipeline for Dyna…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…Aggregated Residual Transformations for Deep Neural Networks (2017)Aggregated Residual Transform…A Simple Framework for Contrastive Learning of Visual Representations (2020)A Simple Framework for Contra…Unsupervised Feature Learning via Non-parametric Instance Discrimination (2018)Unsupervised Feature Learning…Unsupervised Visual Representation Learning by Context Prediction (2015)Unsupervised Visual Represent…Deep Clustering for Unsupervised Learning of Visual Features (2018)Deep Clustering for Unsupervi…Learning deep representations by mutual information estimation and maximization (2018)Learning deep representations…Emerging Properties in Self-Supervised Vision Transformers (2021)Emerging Properties in Self-S…Exploring Simple Siamese Representation Learning (2021)Exploring Simple Siamese Repr…In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication (2020)In-Kernel Aggregation and Bro…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Text Data Augmentation for Deep Learning (2021)Text Data Augmentation for De…Model-Contrastive Federated Learning (2021)Model-Contrastive Federated L…
15 of 15 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
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…201846,036
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding201933,416
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…201524,404
Aggregated Residual Transformations for Deep Neural Networks201712,015
A Simple Framework for Contrastive Learning of Visual Representations20207,341
Unsupervised Feature Learning via Non-parametric Instance Discrimination20183,640
Unsupervised Visual Representation Learning by Context Prediction20152,699
Deep Clustering for Unsupervised Learning of Visual Features20182,508
Learning deep representations by mutual information estimation and maximization20181,393

What cites it, inside the corpus

PaperYearCited
Emerging Properties in Self-Supervised Vision Transformers20215,394
Exploring Simple Siamese Representation Learning20213,438
In-Kernel Aggregation and Broadcast Acceleration for Distributed Communication20202,452
On the Opportunities and Risks of Foundation Models20212,265
Text Data Augmentation for Deep Learning20211,701
Model-Contrastive Federated Learning20211,485

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Advanced Neural Network ApplicationsComputer Science
Multimodal Machine Learning ApplicationsComputer Science

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complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports5 author record(s) attached.
  • supports96 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…