| Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement | Jun 3, 2024 | Anomaly DetectionDecision Making | CodeCode Available | 0 | 5 |
| Conformal Prediction Sets Can Cause Disparate Impact | Oct 2, 2024 | Conformal PredictionFairness | CodeCode Available | 0 | 5 |
| Enhancing Model Robustness and Fairness with Causality: A Regularization Approach | Oct 3, 2021 | Causal Inferencecounterfactual | CodeCode Available | 0 | 5 |
| Enhancing New-item Fairness in Dynamic Recommender Systems | Apr 30, 2025 | FairnessKnowledge Distillation | CodeCode Available | 0 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Enhancing the Accuracy and Fairness of Human Decision Making | May 25, 2018 | Decision MakingFairness | CodeCode Available | 0 | 5 |
| Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models | Apr 8, 2020 | Fairnessnamed-entity-recognition | CodeCode Available | 0 | 5 |
| A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes | Oct 17, 2024 | FairnessModel Selection | CodeCode Available | 0 | 5 |
| E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems | Apr 20, 2023 | DiversityFairness | CodeCode Available | 0 | 5 |
| Certified Defense on the Fairness of Graph Neural Networks | Nov 5, 2023 | FairnessGraph Learning | CodeCode Available | 0 | 5 |
