Leaderboards/Machine Learning and Data Classification

Machine Learning and Data Classification

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Bahzad Charbuty
Duhok Polytechnic University
2
Sercan Ö. Arık
Google (United States)
3
Diane Daniel
Centre Population et Développement
4
Tlamelo Emmanuel
Botswana Accountancy College
5
Mohammad Mustafa Taye
Philadelphia University
6
Valerie Chen
Carnegie Mellon University
7
Hugh Chen
Georgia Institute of Technology
8
Noah Hollmann
University of Freiburg
9
Vinícius G. Costa
Universidade Federal do Rio de Janeiro
10
Shiyu Liang
Guangxi Normal University

Rising Stars Papers

1
Accurate predictions on small data with a tabular foundation model
Nature|2025
636 cit.
2
Enhancing the reliability of out-of-distribution image detection in neural networks
TIB Data Manager|2025
547 cit.
3
Need Help? Designing Proactive AI Assistants for Programming
Unknown Journal|2025
16 cit.
4
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
Unknown Journal|2025
16 cit.
5
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
Unknown Journal|2024
9 cit.
6
CodingGenie: A Proactive LLM-Powered Programming Assistant
Unknown Journal|2025
7 cit.
7
Natural language processing: The current state of the art and challenges
Review of Computer Engineering Research|2024
2 cit.
8
Low-Gravity Testing of a Thermally Induced Phase Change Propellant Management Device
Unknown Journal|2025
2 cit.
9
Enhanced Sentiment Classification through Ontology-Based Sentiment Analysis with BERT
Journal of Internet Services and Information Security|2025
2 cit.
10
Enhanced Agile Methodology for Ontology Development in E-Learning Environments
International Journal of Interactive Mobile Technologies (iJIM)|2024
1 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Soumith Chintala
Meta (Israel)
2
Erwan Scornet
Centre National de la Recherche Scientifique
3
Sheng Yang
Ningxia University
4
Adnan Mohsin Abdulazeez
Duhok Polytechnic University
5
Soumik Mandal
The Ohio State University
6
Minsu Cho
Korea Institute of Radiological and Medical Sciences
7
Sihao Deng
Centre National de la Recherche Scientifique
8
Mohammed Elanbari
Sidra Medical and Research Center
9
Mingliang Wang
Shanghai Micro Satellite Engineering Center
10
Po-Yang Yeh
National Cheng Kung University

Emerging Leaders Papers

1
PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation
Unknown Journal|2024
579 cit.
2
Giant Trevally Optimizer (GTO): A Novel Metaheuristic Algorithm for Global Optimization and Challenging Engineering Problems
IEEE Access|2022
159 cit.
3
Mean decrease accuracy for random forests: inconsistency, and a practical solution via the Sobol-MDA
Biometrika|2022
81 cit.
4
Integrative Few-Shot Learning for Classification and Segmentation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
77 cit.
5
Trees, forests, and impurity-based variable importance in regression
Annales de l Institut Henri Poincaré Probabilités et Statistiques|2023
67 cit.
6
A blind and robust color image watermarking scheme based on DCT and DWT domains
Multimedia Tools and Applications|2023
59 cit.
7
Future Transformer for Long-term Action Anticipation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
58 cit.
8
Relational Context Learning for Human-Object Interaction Detection
Unknown Journal|2023
57 cit.
9
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
41 cit.
10
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)|2022
39 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Ruslan Salakhutdinov
Massachusetts Institute of Technology
2
Qiang Yang
Beijing Institute of Petrochemical Technology
3
Francisco Herrera
Universidad de Granada
4
Robert E. Schapire
AT&T (United States)
5
Deva Ramanan
Louisiana State University Health Sciences Center New Orleans
6
Yoshua Bengio
Université de Montréal
7
Bernhard Schölkopf
Max Planck Society
8
Tie‐Yan Liu
Microsoft Research Asia (China)
9
George H. John
Epiphany Biosciences (United States)
10
Tom M. Mitchell
Carnegie Mellon University

Current Senior Leaders Papers

1
Dropout: a simple way to prevent neural networks from overfitting
Unknown Journal|2014
34.3k cit.
2
A Survey on Transfer Learning
IEEE Transactions on Knowledge and Data Engineering|2009
23.2k cit.
3
Reducing the Dimensionality of Data with Neural Networks
Science|2006
21k cit.
4
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
Journal of Computer and System Sciences|1997
20.3k cit.
5
Maximum entropy modeling of species geographic distributions
Ecological Modelling|2005
17.7k cit.
6
Generative adversarial networks
Communications of the ACM|2020
13.6k cit.
7
A tutorial on support vector regression
Statistics and Computing|2004
13k cit.
8
Understanding the difficulty of training deep feedforward neural networks
Unknown Journal|2010
12.7k cit.
9
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence|2009
10.1k cit.
10
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
HAL (Le Centre pour la Communication Scientifique Directe)|2017
9.5k cit.

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