| FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness | Oct 2, 2024 | Fairness | —Unverified | 0 |
| Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study | May 30, 2024 | Fairness | —Unverified | 0 |
| Fair Machine Learning in Healthcare: A Review | Jun 29, 2022 | BIG-bench Machine LearningDiagnostic | —Unverified | 0 |
| Fair mapping | Sep 1, 2022 | AttributeFairness | —Unverified | 0 |
| FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems | May 3, 2020 | DiversityFairness | —Unverified | 0 |
| Fair Matrix Factorisation for Large-Scale Recommender Systems | Sep 9, 2022 | Collaborative FilteringFairness | —Unverified | 0 |
| Fair Meta-Learning For Few-Shot Classification | Sep 23, 2020 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| Fair Meta-Learning: Learning How to Learn Fairly | Nov 6, 2019 | AttributeFairness | —Unverified | 0 |
| fairmetrics: An R package for group fairness evaluation | Jun 6, 2025 | Fairness | —Unverified | 0 |
| Fair Minimum Representation Clustering | Feb 6, 2023 | ClusteringFairness | —Unverified | 0 |
