🤖 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

Learning a Deep Convolutional Network for Image Super-Resolution

Chao Dong, Chen Change Loy et al. (2014)

Lecture Notes in Computer Science

3.5K citesbook chapterPDF

Stereo Processing by Semiglobal Matching and Mutual Information

H. Hirschmuller (2008)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.5K citesjournal articlePDF

Learning without Forgetting

Zhizhong Li, Derek Hoiem (2018)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.5K citesjournal articlePDF

Expansive Learning at Work: Toward an activity theoretical reconceptualization

Yrjö Engeström (2001)

Journal of Education and Work

3.5K citesjournal articlePDF

Dimensionality Reduction by Learning an Invariant Mapping

R. Hadsell, S. Chopra et al. (2006)

2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)

3.4K citesproceedings articlePDF

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

Xiao Xiang Zhu, Devis Tuia et al. (2017)

IEEE Geoscience and Remote Sensing Magazine

3.4K citesjournal articlePDF

Comprehensive learning particle swarm optimizer for global optimization of multimodal functions

J.J. Liang, A.K. Qin et al. (2006)

IEEE Transactions on Evolutionary Computation

3.4K citesjournal articlePDF

The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity.

Clay B. Holroyd, Michael G. H. Coles (2002)

Psychological Review

3.4K citesjournal articlePDF

FlowNet: Learning Optical Flow with Convolutional Networks

Alexey Dosovitskiy, Philipp Fischer et al. (2015)

2015 IEEE International Conference on Computer Vision (ICCV)

3.4K citesproceedings articlePDF

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Lu Lu, Pengzhan Jin et al. (2021)

Nature Machine Intelligence

3.4K citesjournal articlePDF

Least-Squares Fitting of Two 3-D Point Sets

K. S. Arun, T. S. Huang et al. (1987)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.4K citesjournal articlePDF

Simple statistical gradient-following algorithms for connectionist reinforcement learning

Ronald J. Williams (1992)

Machine Learning

3.4K citesjournal articlePDF

Combining labeled and unlabeled data with co-training

Avrim Blum, Tom Mitchell (1998)

Proceedings of the eleventh annual conference on Computational learning theory

3.4K citesproceedings articlePDF

Neural network ensembles

L.K. Hansen, P. Salamon (1990)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.3K citesjournal articlePDF

Exploring Simple Siamese Representation Learning

Xinlei Chen, Kaiming He (2021)

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3.3K citesproceedings articlePDF