| Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering | Jul 27, 2024 | ClusteringFairness | —Unverified | 0 |
| An Empirical Study of Modular Bias Mitigators and Ensembles | Feb 1, 2022 | Ensemble LearningFairness | —Unverified | 0 |
| Enhancing kidney transplantation through multi-agent kidney exchange programs: A comprehensive review and optimization models | Feb 10, 2025 | Fairness | —Unverified | 0 |
| Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review | Sep 27, 2022 | FairnessMedical Image Analysis | —Unverified | 0 |
| Enhancing Logical Reasoning in Large Language Models to Facilitate Legal Applications | Nov 22, 2023 | FairnessLegal Reasoning | —Unverified | 0 |
| Enhancing Model Fairness and Accuracy with Similarity Networks: A Methodological Approach | Nov 8, 2024 | FairnessImputation | —Unverified | 0 |
| Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation | Feb 20, 2024 | FairnessText Generation | —Unverified | 0 |
| Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling | Jan 22, 2025 | AttributeFairness | —Unverified | 0 |
| Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems | May 20, 2020 | Contrastive LearningFairness | —Unverified | 0 |
| Towards Fairness-Aware Federated Learning | Nov 2, 2021 | FairnessFederated Learning | —Unverified | 0 |
