🤖 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

Emergence of simple-cell receptive field properties by learning a sparse code for natural images

Bruno A. Olshausen, David J. Field (1996)

Nature

4.5K citesjournal articlePDF

Quantum machine learning

Jacob Biamonte, Peter Wittek et al. (2017)

Nature

4.5K citesjournal articlePDF

Using Deep Learning for Image-Based Plant Disease Detection

Sharada P. Mohanty, David P. Hughes et al. (2016)

Frontiers in Plant Science

4.4K citesjournal articlePDF

Content-based image retrieval at the end of the early years

A.W.M. Smeulders, M. Worring et al. (2000)

IEEE Transactions on Pattern Analysis and Machine Intelligence

4.4K citesjournal articlePDF

Learning Transferable Architectures for Scalable Image Recognition

Barret Zoph, Vijay Vasudevan et al. (2018)

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

4.4K citesproceedings articlePDF

A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses

R. Tsai (1987)

IEEE Journal on Robotics and Automation

4.4K citesjournal articlePDF

Motivational processes affecting learning.

Carol S. Dweck (1986)

American Psychologist

4.4K citesjournal articlePDF

Deep Learning in Medical Image Analysis

Dinggang Shen, Guorong Wu et al. (2017)

Annual Review of Biomedical Engineering

4.3K citesjournal articlePDF

An efficient k-means clustering algorithm: analysis and implementation

T. Kanungo, D.M. Mount et al. (2002)

IEEE Transactions on Pattern Analysis and Machine Intelligence

4.3K citesjournal articlePDF

A Survey on Vision Transformer

Kai Han, Yunhe Wang et al. (2023)

IEEE Transactions on Pattern Analysis and Machine Intelligence

4.3K citesjournal articlePDF

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

Daniel S. Kermany, Michael Goldbaum et al. (2018)

Cell

4.3K citesjournal articlePDF

Learning with Kernels

Bernhard Schölkopf, Alexander J. Smola (2001)

4.4K citesmonograph

Assessment and Classroom Learning

Paul Black, Dylan Wiliam (1998)

Assessment in Education: Principles, Policy & Practice

4.3K citesjournal articlePDF

Does Active Learning Work? A Review of the Research

Michael Prince (2004)

Journal of Engineering Education

4.3K citesjournal articlePDF

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

Chien-Yao Wang, Hong-Yuan Mark Liao et al. (2020)

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

4.2K citesproceedings articlePDF