🤖 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

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Kaipeng Zhang, Zhanpeng Zhang et al. (2016)

IEEE Signal Processing Letters

5.3K citesjournal articlePDF

High-Speed Tracking with Kernelized Correlation Filters

Joao F. Henriques, Rui Caseiro et al. (2015)

IEEE Transactions on Pattern Analysis and Machine Intelligence

5.3K citesjournal articlePDF

Organizational Learning: The Contributing Processes and the Literatures

George P. Huber (1991)

Organization Science

5.3K citesjournal articlePDF

A performance evaluation of local descriptors

K. Mikolajczyk, C. Schmid (2005)

IEEE Transactions on Pattern Analysis and Machine Intelligence

5.2K citesjournal articlePDF

Multitask Learning

Rich Caruana (1997)

Machine Learning

5.2K citesjournal articlePDF

Federated Learning: Challenges, Methods, and Future Directions

Tian Li, Anit Kumar Sahu et al. (2020)

IEEE Signal Processing Magazine

5.2K citesjournal articlePDF

Machine learning in automated text categorization

Fabrizio Sebastiani (2002)

ACM Computing Surveys

5.2K citesjournal articlePDF

Working Memory

Alan D. Baddeley, Graham Hitch (1974)

Psychology of Learning and Motivation

5.2K citesbook chapter

Single Image Haze Removal Using Dark Channel Prior

Kaiming He, Jian Sun et al. (2011)

IEEE Transactions on Pattern Analysis and Machine Intelligence

5.1K citesjournal articlePDF

Advances and Open Problems in Federated Learning

Peter Kairouz, H. Brendan McMahan (2021)

Foundations and Trends® in Machine Learning

5.1K citesjournal articlePDF

Organizational Learning and Communities-of-Practice: Toward a Unified View of Working, Learning, and Innovation

John Seely Brown, Paul Duguid (1991)

Organization Science

5.2K citesjournal articlePDF

Extracting and composing robust features with denoising autoencoders

Pascal Vincent, Hugo Larochelle et al. (2008)

Proceedings of the 25th international conference on Machine learning - ICML '08

5.1K citesproceedings articlePDF

Innovation and Learning: The Two Faces of R & D

Wesley M. Cohen, Daniel A. Levinthal (1989)

The Economic Journal

5.1K citesjournal article

An overview of statistical learning theory

V.N. Vapnik (1999)

IEEE Transactions on Neural Networks

5.1K citesjournal articlePDF

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

Hoo-Chang Shin, Holger R. Roth et al. (2016)

IEEE Transactions on Medical Imaging

5.0K citesjournal articlePDF