2026 edition · shelf
Surveys & tutorials
Reviews, tutorials and overviews that map a field rather than introduce one idea.
- 1
A tutorial on hidden Markov models and selected applications in speech recognition
Lawrence R. Rabiner · 22,741 citations · OpenAlex
Editor's note - 2
Matrix Factorization Techniques for Recommender Systems
Yehuda Koren · 11,720 citations · OpenAlex
Editor's note - 3
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
Geoffrey Hinton · 10,174 citations · OpenAlex
Editor's note - 4
- 5
An Introduction to Variational Methods for Graphical Models
Michael I. Jordan · 3,664 citations · OpenAlex
Editor's note - 6
Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions
Gediminas Adomavicius · 10,327 citations · OpenAlex
- 7
Variational Inference: A Review for Statisticians
David M. Blei · 6,131 citations · Semantic Scholar
Editor's note - 8
- 9
Graphical Models, Exponential Families, and Variational Inference
Martin J. Wainwright · 2,992 citations · OpenAlex
Editor's note - 10
Reinforcement Learning: A Survey
Kaelbling · 8,969 citations · OpenAlex
- 11
Representation Learning: A Review and New Perspectives
Yoshua Bengio · 14,430 citations · Papers With Code
Editor's note - 12
Geometric deep learning: going beyond Euclidean data
Bronstein · 3,609 citations · OpenAlex
Editor's note - 13
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller · 5,301 citations · OpenAlex
Editor's note - 14
- 15
A Survey on Transfer Learning
Sinno Jialin Pan · 23,379 citations · OpenAlex
- 16
A Tutorial on Spectral Clustering
Ulrike von Luxburg · 10,381 citations · OpenAlex
- 17
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti · 5,433 citations · Papers With Code
- 18
A Survey on Bias and Fairness in Machine Learning
Mehrabi · 6,528 citations · Papers With Code
- 19
A Tutorial on Learning With Bayesian Networks
Heckerman · 3,651 citations · Semantic Scholar
- 20
Graph neural networks: A review of methods and applications
Zhou · 7,486 citations · Papers With Code
- 21
Machine learning for molecular and materials science
Butler · 4,962 citations · OpenAlex
- 22
A survey of robot learning from demonstration
Brenna D. Argall · 3,228 citations · OpenAlex
- 23
A Tutorial on Visual Servo Control
Seth Hutchinson · 3,542 citations · OpenAlex
- 24
A Survey of Collaborative Filtering Techniques
3,624 citations · OpenAlex
- 25
Scientific discovery in the age of artificial intelligence
Wang · 1,813 citations · OpenAlex
- 26
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Levine · 2,870 citations · Papers With Code
- 27
An overview of the KL-ONE Knowledge Representation System
Ronald J. Brachman · 2,146 citations · Semantic Scholar
- 28
Differential Privacy: A Survey of Results
Dwork · 3,541 citations · OpenAlex
- 29
A Tutorial on Thompson Sampling
1,292 citations · Papers With Code
- 30
A Unifying Review of Linear Gaussian Models
Roweis · 873 citations · OpenAlex
- 31
Deep learning for molecular design—a review of the state of the art
Elton · 683 citations · OpenAlex
- 32
A Tutorial on Conformal Prediction
Glenn Shafer · 1,915 citations · Semantic Scholar
- 33
An Introduction to MCMC for Machine Learning
2,451 citations · OpenAlex
- 34
Deep learning for computational chemistry
Goh · 809 citations · OpenAlex
- 35
An Overview of Catastrophic AI Risks
Hendrycks · 334 citations · Papers With Code
- 36
Machine learning for molecular simulation
Noé · 958 citations · OpenAlex
- 37
Graph neural networks for materials science and chemistry
Reiser · 875 citations · OpenAlex
- 38
Deep learning for image-based cancer detection and diagnosis—a survey
Hu · 509 citations · OpenAlex
- 39
A Tutorial on Particle Filtering and Smoothing: Fifteen years later
Doucet · 1,433 citations · OpenAlex
- 40
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
680 citations · Semantic Scholar
- 41
An Introduction to Probabilistic Programming
234 citations · Semantic Scholar
- 42
An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition
Stephen E. Levinson · 978 citations · OpenAlex
- 43
Bayesian Model Averaging: A Tutorial
35 citations · Semantic Scholar
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and 
Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.