📰 Journal of Artificial Intelligence Research 2021 — papers

The works of Journal of Artificial Intelligence Research published in 2021 that our library holds (publisher: AI Access Foundation): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. A Survey on the Explainability of Supervised Machine Learning ↗Nadia Burkart, Marco F. Huber990 citations
2. Confident Learning: Estimating Uncertainty in Dataset Labels ↗Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang761 citations
3. Benchmark and Survey of Automated Machine Learning Frameworks ↗Marc-André Zöller, Marco F. Huber448 citations
4. Socially Responsible AI Algorithms: Issues, Purposes, and Challenges ↗Lu Cheng, Kush R. Varshney, Huan Liu261 citations
5. Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks ↗Songül Tolan, Annarosa Pesole, Fernando Martínez‐Plumed et al.165 citations
6. Learning from Disagreement: A Survey ↗Alexandra Uma, Tommaso Fornaciari, Dirk Hovy et al.144 citations
7. Classifier Chains: A Review and Perspectives ↗Jesse Read, Bernhard Pfahringer, Geoffrey Holmes et al.128 citations
8. Game Plan: What AI can do for Football, and What Football can do for AI ↗Karl Tuyls, Shayegan Omidshafiei, Paul Friedrich Müller et al.116 citations
9. A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems ↗Anthony Corso, Robert J. Moss, Mark Koren et al.113 citations
10. A Theoretical Perspective on Hyperdimensional Computing ↗Anthony Hitchcock Thomas, Sanjoy Dasgupta, Tajana Rosing102 citations

All works of the year (101)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. A Survey on the Explainability of Supervised Machine Learning ↗Nadia Burkart, Marco F. Huber990 citations
2. Confident Learning: Estimating Uncertainty in Dataset Labels ↗Curtis G. Northcutt, Lu Jiang, Isaac L. Chuang761 citations
3. Benchmark and Survey of Automated Machine Learning Frameworks ↗Marc-André Zöller, Marco F. Huber448 citations
4. Socially Responsible AI Algorithms: Issues, Purposes, and Challenges ↗Lu Cheng, Kush R. Varshney, Huan Liu261 citations
5. Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks ↗Songül Tolan, Annarosa Pesole, Fernando Martínez‐Plumed et al.165 citations
6. Learning from Disagreement: A Survey ↗Alexandra Uma, Tommaso Fornaciari, Dirk Hovy et al.144 citations
7. Classifier Chains: A Review and Perspectives ↗Jesse Read, Bernhard Pfahringer, Geoffrey Holmes et al.128 citations
8. Game Plan: What AI can do for Football, and What Football can do for AI ↗Karl Tuyls, Shayegan Omidshafiei, Paul Friedrich Müller et al.116 citations
9. A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems ↗Anthony Corso, Robert J. Moss, Mark Koren et al.113 citations
10. A Theoretical Perspective on Hyperdimensional Computing ↗Anthony Hitchcock Thomas, Sanjoy Dasgupta, Tajana Rosing102 citations
11. Graph Kernels: A Survey ↗Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis85 citations
12. Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers ↗Baobao Zhang, Markus Anderljung, Lauren Kahn et al.82 citations
13. Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective ↗Svetlana Kiritchenko, Isar Nejadgholi, Kathleen Fraser78 citations
14. Superintelligence Cannot be Contained: Lessons from Computability Theory ↗Manuel Alfonseca, Manuel Cebrián, Antonio Fernández Anta et al.62 citations
15. Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence ↗Tae Wan Kim, John F. Hooker, Thomas J. Donaldson54 citations
16. Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods ↗Aditya Mogadala, Marimuthu Kalimuthu, Dietrich Klakow47 citations
17. The Societal Implications of Deep Reinforcement Learning ↗Jess Whittlestone, Kai Arulkumaran, Matthew Crosby42 citations
18. Liquid Democracy: An Algorithmic Perspective ↗Anson Kahng, Simon Mackenzie, Ariel D. Procaccia37 citations
19. Contrastive Explanations of Plans through Model Restrictions ↗Benjamin Krarup, Senka Krivić, Daniele Magazzeni et al.36 citations
20. The Computational Complexity of Understanding Binary Classifier Decisions ↗Stephan Wäldchen, Jan Macdonald, Sascha Hauch et al.32 citations
21. Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms ↗Frits de Nijs, Erwin Walraven, Mathijs M. De Weerdt et al.31 citations
22. Learning Optimal Decision Sets and Lists with SAT ↗Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey et al.30 citations
23. On Quantifying Literals in Boolean Logic and its Applications to Explainable AI ↗Adnan Y. Darwiche, Pierre Marquis30 citations
24. Two-facility Location Games with Minimum Distance Requirement ↗Xinping Xu, Bo Li, Minming Li et al.30 citations
25. Lilotane: A Lifted SAT-based Approach to Hierarchical Planning ↗Dominik Schreiber29 citations

See all 101 papers in Journal of Artificial Intelligence Research 2021 — papers →

📄 Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Can We Automate Scientific Reviewing?Journal of Artificial Intelligence ResearchWeizhe Yuan, Pengfei Liu, Graham Neubig2021 · 165 citations

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Carnegie Mellon UniversityPittsburgh · United States1 work here

works and citations from OpenAlex and our library.

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