๐Ÿค– Machine Learning Papers

Scholarly works matching "machine learning" in Crossref, sorted by the number of times other DOI-registered works cite them. Citation counts come from Crossref and are usually lower than Google Scholar figures.

500 top-cited papers indexed

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande et al. (2018)

IEEE Transactions on Medical Imaging

2.3K citesjournal articlePDF

A schema theory of discrete motor skill learning.

Richard A. Schmidt (1975)

Psychological Review

2.3K citesjournal articlePDF

One-shot learning of object categories

Li Fei-Fei, R. Fergus et al. (2006)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.3K citesjournal articlePDF

Test-Enhanced Learning

Henry L. Roediger, Jeffrey D. Karpicke (2006)

Psychological Science

2.3K citesjournal articlePDF

Neuronlike adaptive elements that can solve difficult learning control problems

Andrew G. Barto, Richard S. Sutton et al. (1983)

IEEE Transactions on Systems, Man, and Cybernetics

2.3K citesjournal articlePDF

A model for Pavlovian learning: Variations in the effectiveness of conditioned but not of unconditioned stimuli.

John M. Pearce, Geoffrey Hall (1980)

Psychological Review

2.3K citesjournal articlePDF

Attentional requirements of learning: Evidence from performance measures

Mary Jo Nissen, Peter Bullemer (1987)

Cognitive Psychology

2.3K citesjournal articlePDF

Generating fuzzy rules by learning from examples

L.-X. Wang, J.M. Mendel (1992)

IEEE Transactions on Systems, Man, and Cybernetics

2.3K citesjournal articlePDF

Understanding deep learning (still) requires rethinking generalization

Chiyuan Zhang, Samy Bengio et al. (2021)

Communications of the ACM

2.3K citesjournal articlePDF

Detecting faces in images: a survey

Ming-Hsuan Yang, D.J. Kriegman et al. (2002)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.3K citesjournal articlePDF

AutoAugment: Learning Augmentation Strategies From Data

Ekin D. Cubuk, Barret Zoph et al. (2019)

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

2.2K citesproceedings articlePDF

Learning Entity and Relation Embeddings for Knowledge Graph Completion

Yankai Lin, Zhiyuan Liu et al. (2015)

Proceedings of the AAAI Conference on Artificial Intelligence

2.2K citesjournal articlePDF

Learning to predict by the methods of temporal differences

Richard S. Sutton (1988)

Machine Learning

2.2K citesjournal articlePDF

NEURAL MECHANISMS OF ADDICTION: The Role of Reward-Related Learning and Memory

Steven E. Hyman, Robert C. Malenka et al. (2006)

Annual Review of Neuroscience

2.3K citesjournal articlePDF

Image Segmentation Using Deep Learning: A Survey

Shervin Minaee, Yuri Y. Boykov et al. (2021)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.2K citesjournal articlePDF