| Combining Machine Learning Defenses without Conflicts | Nov 14, 2024 | Fairness | —Unverified | 0 |
| SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation | Nov 14, 2024 | Fairness | CodeCode Available | 0 |
| Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without Demographics | Nov 13, 2024 | Fairness | CodeCode Available | 0 |
| TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property | Nov 13, 2024 | Decision MakingFairness | —Unverified | 0 |
| Properties of fairness measures in the context of varying class imbalance and protected group ratios | Nov 13, 2024 | Fairness | CodeCode Available | 0 |
| Aligning Visual Contrastive learning models via Preference Optimization | Nov 12, 2024 | Contrastive LearningFairness | CodeCode Available | 0 |
| Mitigating Bias in Queer Representation within Large Language Models: A Collaborative Agent Approach | Nov 12, 2024 | Bias DetectionFairness | CodeCode Available | 0 |
| Fair Summarization: Bridging Quality and Diversity in Extractive Summaries | Nov 12, 2024 | DiversityDocument Summarization | CodeCode Available | 0 |
| A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Data | Nov 12, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| WassFFed: Wasserstein Fair Federated Learning | Nov 11, 2024 | FairnessFederated Learning | —Unverified | 0 |
