| Towards Unbiased and Accurate Deferral to Multiple Experts | Feb 25, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation | Nov 29, 2023 | FairnessKnowledge Distillation | CodeCode Available | 0 |
| Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework | May 19, 2025 | FairnessRetrieval-augmented Generation | CodeCode Available | 0 |
| Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness | Jun 14, 2024 | Fairness | CodeCode Available | 0 |
| A Distributed Fair Machine Learning Framework with Private Demographic Data Protection | Sep 17, 2019 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning | Jun 6, 2023 | Fairness | CodeCode Available | 0 |
| Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers | Nov 1, 2022 | FairnessImputation | CodeCode Available | 0 |
| SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation | May 3, 2025 | Collaborative FilteringData Augmentation | CodeCode Available | 0 |
| Fair admission risk prediction with proportional multicalibration | Sep 29, 2022 | FairnessPrediction | CodeCode Available | 0 |
| Fair and Welfare-Efficient Constrained Multi-matchings under Uncertainty | Nov 4, 2024 | FairnessStochastic Optimization | CodeCode Available | 0 |
