| A Differentiable Distance Approximation for Fairer Image Classification | Oct 9, 2022 | ClassificationFairness | CodeCode Available | 0 | 5 |
| Efficient Algorithms For Fair Clustering with a New Fairness Notion | Sep 2, 2021 | AttributeClustering | CodeCode Available | 0 | 5 |
| Equalized odds postprocessing under imperfect group information | Jun 7, 2019 | AttributeFairness | CodeCode Available | 0 | 5 |
| Achieving Group Fairness through Independence in Predictive Process Monitoring | Dec 6, 2024 | FairnessPredictive Process Monitoring | CodeCode Available | 0 | 5 |
| Towards Energy-Aware Federated Learning on Battery-Powered Clients | Aug 9, 2022 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges | Feb 18, 2025 | ClusteringFairness | CodeCode Available | 0 | 5 |
| ABCinML: Anticipatory Bias Correction in Machine Learning Applications | Jun 14, 2022 | BIG-bench Machine LearningFairness | CodeCode Available | 0 | 5 |
| EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning | Oct 2, 2024 | FairnessFederated Learning | CodeCode Available | 0 | 5 |
| Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters | Jan 29, 2024 | FairnessRetrieval | CodeCode Available | 0 | 5 |
| Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs | Feb 21, 2025 | Fairness | CodeCode Available | 0 | 5 |
