Supervised Learning Publications

Publications in Supervised Learning

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

Supervised Learning

14.6K

Publications

1.5M

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
Adam: A Method for Stochastic Optimization Diederik P. Kingma, Jimmy Ba UvA-DARE (University of Amsterdam) Artificial IntelligenceMathematical ProgrammingModel OptimizationMachine VisionMachine Learning	2014	84.5K
Gradient-based learning applied to document recognition Yann LeCun, Léon Bottou, Yoshua Bengio, Proceedings of the IEEE EngineeringMachine LearningMultilayer Neural NetworksImage AnalysisData Science	1998	56.5K
Learning representations by back-propagating errors David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams Nature EngineeringMachine LearningFeature LearningPattern RecognitionKnowledge Discovery	1986	29.7K
Greedy function approximation: A gradient boosting machine. Jerome H. Friedman The Annals of Statistics EngineeringMachine LearningData MiningPattern RecognitionGreedy Function Approximation	2001	27.3K
Statistical Learning Theory Yuhai Wu, Vladimir Vapnik Technometrics Generalization TheoryEngineeringMachine LearningData ScienceComputational Learning Theory	1999	26.9K
A Survey on Transfer Learning Sinno Jialin Pan, Qiang Yang IEEE Transactions on Knowledge and Data Engineering EngineeringMachine LearningKnowledge TransferData MiningPattern Recognition	2009	22.5K
Auto-Encoding Variational Bayes Diederik P. Kingma, Max Welling UvA-DARE (University of Amsterdam) Structured PredictionAuto-encoding Variational BayesMachine LearningEngineeringAutoencoders	2013	15.5K
Proceedings of the 24th international conference on Machine learning Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolAlgorithmic Learning	2007	11.7K
LightGBM: A Highly Efficient Gradient Boosting Decision Tree Guolin Ke, Qi Meng, Thomas Finley, HAL (Le Centre pour la Communication Scientifique Directe) Artificial IntelligenceEngineeringMachine LearningSmall GradientsMachine Learning Tool	2017	9.5K
Decoupled Weight Decay Regularization Ilya Loshchilov, Frank Hutter arXiv (Cornell University) EngineeringMachine LearningWeight DecayAtomic DecompositionImage Analysis	2017	9K
Scikit-learn: Machine Learning in Python PedregosaFabian, VaroquauxGaël, GramfortAlexandre, Journal of Machine Learning Research Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolPython Module	2011	8K
Training feedforward networks with the Marquardt algorithm Martin Hagan, Mohammad Bagher Menhaj IEEE Transactions on Neural Networks Nonlinear System IdentificationConjugate Gradient AlgorithmEngineeringMachine LearningComputational Learning Theory	1994	7.6K

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