| Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy | Apr 27, 2023 | Fairnessmodel | —Unverified | 0 |
| Proportionally Representative Clustering | Apr 27, 2023 | ClusteringFairness | —Unverified | 0 |
| Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration | Apr 27, 2023 | Fairness | —Unverified | 0 |
| Fairness Uncertainty Quantification: How certain are you that the model is fair? | Apr 27, 2023 | FairnessUncertainty Quantification | —Unverified | 0 |
| Towards clinical AI fairness: A translational perspective | Apr 26, 2023 | FairnessTranslation | —Unverified | 0 |
| Combining Adversaries with Anti-adversaries in Training | Apr 25, 2023 | FairnessMeta-Learning | —Unverified | 0 |
| (Local) Differential Privacy has NO Disparate Impact on Fairness | Apr 25, 2023 | AttributeFairness | CodeCode Available | 0 |
| Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis | Apr 25, 2023 | Fairness | —Unverified | 0 |
| Rapidly time-varying reconfigurable intelligent surfaces for downlink multiuser transmissions | Apr 24, 2023 | FairnessScheduling | —Unverified | 0 |
| Towards Mode Balancing of Generative Models via Diversity Weights | Apr 24, 2023 | DiversityFairness | CodeCode Available | 0 |
