| One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions | Aug 31, 2023 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks | May 27, 2024 | FairnessGraph Learning | CodeCode Available | 0 | 5 |
| Deceptive Fairness Attacks on Graphs via Meta Learning | Oct 24, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 | 5 |
| A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning | Feb 21, 2023 | Fairness | CodeCode Available | 0 | 5 |
| FairBalance: How to Achieve Equalized Odds With Data Pre-processing | Jul 17, 2021 | BIG-bench Machine LearningFairness | CodeCode Available | 0 | 5 |
| A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems | Jul 17, 2024 | FairnessLEMMA | CodeCode Available | 0 | 5 |
| Gender Biases in Automatic Evaluation Metrics for Image Captioning | May 24, 2023 | FairnessImage Captioning | CodeCode Available | 0 | 5 |
| Decoding Demographic un-fairness from Indian Names | Sep 7, 2022 | FairnessRecommendation Systems | 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 |
