| Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | Aug 22, 2019 | Data ValuationFairness | CodeCode Available | 0 | 5 |
| Equal Opportunity in Online Classification with Partial Feedback | Feb 6, 2019 | ClassificationDecision Making Under Uncertainty | CodeCode Available | 0 | 5 |
| A Stochastic Optimization Framework for Private and Fair Learning From Decentralized Data | Nov 12, 2024 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Policy Learning with Observational Data | Feb 9, 2017 | FairnessForm | CodeCode Available | 0 | 5 |
| EiX-GNN : Concept-level eigencentrality explainer for graph neural networks | Jun 7, 2022 | FairnessTransfer Learning | CodeCode Available | 0 | 5 |
| Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs | Feb 21, 2025 | Fairness | CodeCode Available | 0 | 5 |
| Embracing Fairness in Consumer Electricity Markets using an Automatic Market Maker | Jul 30, 2024 | Fairness | CodeCode Available | 0 | 5 |
| Ethical Considerations for Responsible Data Curation | Feb 7, 2023 | DiversityFairness | CodeCode Available | 0 | 5 |
| AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis | Apr 28, 2025 | counterfactualDiagnostic | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
