| Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees | Jun 8, 2020 | FairnessGeneral Classification | CodeCode Available | 0 | 5 |
| Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection | Aug 22, 2023 | Fairness | CodeCode Available | 0 | 5 |
| A Sequentially Fair Mechanism for Multiple Sensitive Attributes | Sep 12, 2023 | AttributeDecision Making | CodeCode Available | 0 | 5 |
| A Semidefinite Relaxation Approach for Fair Graph Clustering | Oct 19, 2024 | ClusteringFairness | CodeCode Available | 0 | 5 |
| DeepBern-Nets: Taming the Complexity of Certifying Neural Networks using Bernstein Polynomial Activations and Precise Bound Propagation | May 22, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 | 5 |
| Collapsed Language Models Promote Fairness | Oct 6, 2024 | Data AugmentationFairness | CodeCode Available | 0 | 5 |
| Deep Fair Clustering for Visual Learning | Jun 1, 2020 | ClusteringDeep Clustering | CodeCode Available | 0 | 5 |
| Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric | Sep 26, 2022 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems | Oct 16, 2023 | FairnessQuestion Answering | CodeCode Available | 0 | 5 |
| Empirical Risk Minimization under Fairness Constraints | Feb 23, 2018 | Fairness | CodeCode Available | 0 | 5 |
