🤖 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

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

Mike Davies, Narayan Srinivasa et al. (2018)

IEEE Micro

3.7K citesjournal articlePDF

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Bing Yu, Haoteng Yin et al. (2018)

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

3.7K citesproceedings article

ilastik: interactive machine learning for (bio)image analysis

Stuart Berg, Dominik Kutra et al. (2019)

Nature Methods

3.7K citesjournal articlePDF

The FERET evaluation methodology for face-recognition algorithms

P.J. Phillips, Hyeonjoon Moon et al. (2000)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.7K citesjournal articlePDF

Statistical Learning by 8-Month-Old Infants

Jenny R. Saffran, Richard N. Aslin et al. (1996)

Science

3.7K citesjournal articlePDF

Kernel-based object tracking

D. Comaniciu, V. Ramesh et al. (2003)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.7K citesjournal articlePDF

Membership Inference Attacks Against Machine Learning Models

Reza Shokri, Marco Stronati et al. (2017)

2017 IEEE Symposium on Security and Privacy (SP)

3.7K citesproceedings articlePDF

Large-Scale Machine Learning with Stochastic Gradient Descent

Léon Bottou (2010)

Proceedings of COMPSTAT'2010

3.6K citesbook chapterPDF

Introduction to Semi-Supervised Learning

Xiaojin Zhu, Andrew B. Goldberg (2009)

Synthesis Lectures on Artificial Intelligence and Machine Learning

3.6K citesbookPDF

Learning to Compare: Relation Network for Few-Shot Learning

Flood Sung, Yongxin Yang et al. (2018)

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

3.6K citesproceedings articlePDF

Deep learning with convolutional neural networks for EEG decoding and visualization

Robin Tibor Schirrmeister, Jost Tobias Springenberg et al. (2017)

Human Brain Mapping

3.6K citesjournal articlePDF

A study of the behavior of several methods for balancing machine learning training data

Gustavo E. A. P. A. Batista, Ronaldo C. Prati et al. (2004)

ACM SIGKDD Explorations Newsletter

3.6K citesjournal articlePDF

An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision

Y. Boykov, V. Kolmogorov (2004)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.6K citesjournal articlePDF

Formative assessment and self‐regulated learning: a model and seven principles of good feedback practice

David J. Nicol, Debra Macfarlane‐Dick (2006)

Studies in Higher Education

3.6K citesjournal articlePDF

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Zhaohui Zheng, Ping Wang et al. (2020)

Proceedings of the AAAI Conference on Artificial Intelligence

3.6K citesjournal articlePDF