🤖 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

A review on the attention mechanism of deep learning

Zhaoyang Niu, Guoqiang Zhong et al. (2021)

Neurocomputing

3.3K citesjournal articlePDF

Fast Learning in Networks of Locally-Tuned Processing Units

John Moody, Christian J. Darken (1989)

Neural Computation

3.3K citesjournal articlePDF

MonoSLAM: Real-Time Single Camera SLAM

Andrew J. Davison, Ian D. Reid et al. (2007)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.3K citesjournal articlePDF

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Alexander Rives, Joshua Meier et al. (2021)

Proceedings of the National Academy of Sciences

3.3K citesjournal articlePDF

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

Ziad Obermeyer, Ezekiel J. Emanuel (2016)

New England Journal of Medicine

3.3K citesjournal articlePDF

Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

Catalin Ionescu, Dragos Papava et al. (2014)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.3K citesjournal articlePDF

A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

Ronald J. Williams, David Zipser (1989)

Neural Computation

3.3K citesjournal articlePDF

Practical Secure Aggregation for Privacy-Preserving Machine Learning

Keith Bonawitz, Vladimir Ivanov et al. (2017)

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

3.3K citesproceedings articlePDF

What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience?

Kent C Berridge, Terry E Robinson (1998)

Brain Research Reviews

3.2K citesjournal articlePDF

Learning to Prompt for Vision-Language Models

Kaiyang Zhou, Jingkang Yang et al. (2022)

International Journal of Computer Vision

3.2K citesjournal articlePDF

Text categorization with Support Vector Machines: Learning with many relevant features

Thorsten Joachims (1998)

Lecture Notes in Computer Science

3.2K citesbook chapterPDF

Problem-Based Learning: What and How Do Students Learn?

Cindy E. Hmelo-Silver (2004)

Educational Psychology Review

3.2K citesjournal articlePDF

Learning Internal Representations by Error Propagation

David E. Rumelhart, Geoffrey E. Hinton et al. (1985)

3.2K citesreport

A scaled conjugate gradient algorithm for fast supervised learning

Martin Fodslette Møller (1993)

Neural Networks

3.2K citesjournal articlePDF

Improved protein structure prediction using potentials from deep learning

Andrew W. Senior, Richard Evans et al. (2020)

Nature

3.2K citesjournal articlePDF