| Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | Aug 22, 2019 | Data ValuationFairness | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
| Equalized odds postprocessing under imperfect group information | Jun 7, 2019 | AttributeFairness | CodeCode Available | 0 | 5 |
| A Brief Tutorial on Sample Size Calculations for Fairness Audits | Dec 7, 2023 | Binary ClassificationFairness | CodeCode Available | 0 | 5 |
| An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision | Oct 22, 2019 | FairnessMetric Learning | CodeCode Available | 0 | 5 |
| EiX-GNN : Concept-level eigencentrality explainer for graph neural networks | Jun 7, 2022 | FairnessTransfer Learning | CodeCode Available | 0 | 5 |
| Fairness Improvement with Multiple Protected Attributes: How Far Are We? | Jul 25, 2023 | AttributeFairness | CodeCode Available | 0 | 5 |
| An Empirical Study of Rich Subgroup Fairness for Machine Learning | Aug 24, 2018 | BIG-bench Machine LearningFairness | CodeCode Available | 0 | 5 |
| DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? | Jun 22, 2021 | Deep LearningFairness | CodeCode Available | 0 | 5 |
