| A Unified Post-Processing Framework for Group Fairness in Classification | May 7, 2024 | AttributeFairness | CodeCode Available | 1 |
| From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching | Apr 27, 2024 | FairnessFederated Learning | CodeCode Available | 1 |
| Global Concept Explanations for Graphs by Contrastive Learning | Apr 25, 2024 | Contrastive LearningFairness | CodeCode Available | 1 |
| SynthEval: A Framework for Detailed Utility and Privacy Evaluation of Tabular Synthetic Data | Apr 24, 2024 | BenchmarkingFairness | CodeCode Available | 1 |
| Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds | Apr 22, 2024 | Fairness | CodeCode Available | 1 |
| OpenBias: Open-set Bias Detection in Text-to-Image Generative Models | Apr 11, 2024 | Bias DetectionFairness | CodeCode Available | 1 |
| FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models | Apr 9, 2024 | FairnessGPU | CodeCode Available | 1 |
| Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time | Mar 27, 2024 | Fairness | CodeCode Available | 1 |
| Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients | Mar 26, 2024 | FairnessRecommendation Systems | CodeCode Available | 1 |
| Distributionally Generative Augmentation for Fair Facial Attribute Classification | Mar 11, 2024 | AttributeClassification | CodeCode Available | 1 |
