Representation Learning Publications

Publications in Representation Learning

Explore the most influential research papers and scholarly works that have shaped Representation Learning. Use the concept filter below to focus on a specific sub-area of research.

Representation Learning

2.7K

Publications

278.1K

Citations

Showing yearly statistics from 2000-2026.

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	Year	Citations
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He, Haoqi Fan, Yuxin Wu, Convolutional Neural NetworkImage AnalysisMachine LearningData ScienceMachine Vision	2020	11.6K
A Simple Framework for Contrastive Learning of Visual Representations Ting Chen, Simon Kornblith, Mohammad Norouzi, arXiv (Cornell University) Early VisionConvolutional Neural NetworkMachine VisionMachine LearningData Science	2020	7.3K
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford, Luke Metz, Soumith Chintala arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningRepresentation LearningImage Analysis	2015	7K
International Conference on Learning Representations (ICLR 2013) 豊松尾人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence Artificial IntelligenceKnowledge RepresentationEngineeringMachine LearningComputer Science	2013	6.3K
Inductive Representation Learning on Large Graphs William L. Hamilton, Rex Ying, Jure Leskovec arXiv (Cornell University) Low-dimensional EmbeddingsGraph Representation LearningMachine LearningEngineeringLink Prediction	2017	4.5K
Representation Learning with Contrastive Predictive Coding Aäron van den Oord, Yazhe Li, Oriol Vinyals arXiv (Cornell University) Artificial IntelligenceStructured PredictionGeometric LearningEngineeringMachine Learning	2018	4.5K
Representation Learning with Contrastive Predictive Coding Aäron van den Oord, Yazhe Li, Oriol Vinyals arXiv (Cornell University) Artificial IntelligenceStructured PredictionGeometric LearningEngineeringMachine Learning	2018	3.8K
5th International Conference on Learning Representations (ICLR 17) Serhii Havrylov, Ivan Titov Artificial IntelligenceEngineeringMachine LearningComputer ScienceDeep Learning	2017	3.5K
Exploring Simple Siamese Representation Learning Xinlei Chen, Kaiming He Natural Language ProcessingFew-shot LearningSiamese NetworksSiamese ArchitecturesMachine Vision	2021	3.2K
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch, Abhinav Gupta, Alexei A. Efros Convolutional Neural NetworkEngineeringMachine LearningVisual SimilarityContext Prediction	2015	2.7K
Convolutional 2D Knowledge Graph Embeddings Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Proceedings of the AAAI Conference on Artificial Intelligence Inverse RelationsGraph Representation LearningMachine LearningEngineeringLink Prediction	2018	2.3K
A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence Michael Haenlein, Andreas Kaplan California Management Review Artificial IntelligenceEngineeringMachine LearningAi FoundationIntelligent Systems	2019	2.2K

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