| Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing | Feb 5, 2024 | AttributeClassification | CodeCode Available | 0 | 5 |
| Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related Queries | Feb 9, 2025 | DiversityFairness | CodeCode Available | 0 | 5 |
| Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization | Jun 11, 2020 | Dimensionality ReductionFairness | CodeCode Available | 0 | 5 |
| Equalized odds postprocessing under imperfect group information | Jun 7, 2019 | AttributeFairness | CodeCode Available | 0 | 5 |
| Fair Active Learning | Jun 20, 2020 | Active LearningBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification | Mar 15, 2023 | AttributeFairness | CodeCode Available | 0 | 5 |
| Efficient Algorithms For Fair Clustering with a New Fairness Notion | Sep 2, 2021 | AttributeClustering | CodeCode Available | 0 | 5 |
| An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition | Sep 2, 2023 | AnatomyBinary Classification | CodeCode Available | 0 | 5 |
| BeMap: Balanced Message Passing for Fair Graph Neural Network | Jun 7, 2023 | FairnessGraph Neural Network | CodeCode Available | 0 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
