| Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning | May 3, 2025 | AttributeFace Recognition | CodeCode Available | 0 | 5 |
| EiX-GNN : Concept-level eigencentrality explainer for graph neural networks | Jun 7, 2022 | FairnessTransfer Learning | CodeCode Available | 0 | 5 |
| AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias | Oct 3, 2018 | BenchmarkingDecision Making | CodeCode Available | 0 | 5 |
| Counterfactual Generative Models for Time-Varying Treatments | May 25, 2023 | counterfactualDecision Making | CodeCode Available | 0 | 5 |
| Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems | Aug 23, 2023 | counterfactualFairness | CodeCode Available | 0 | 5 |
| An Algorithmic Framework for Fairness Elicitation | May 25, 2019 | FairnessGeneralization Bounds | CodeCode Available | 0 | 5 |
| Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs | Feb 21, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Counterfactually Fair Prediction Using Multiple Causal Models | Oct 1, 2018 | counterfactualFairness | CodeCode Available | 0 | 5 |
| FairJob: A Real-World Dataset for Fairness in Online Systems | Jul 3, 2024 | AttributeFairness | CodeCode Available | 0 | 5 |
| Policy Learning with Observational Data | Feb 9, 2017 | FairnessForm | CodeCode Available | 0 | 5 |
