| Towards Fair Graph Federated Learning via Incentive Mechanisms | Dec 20, 2023 | FairnessFederated Learning | CodeCode Available | 1 |
| BSL: Understanding and Improving Softmax Loss for Recommendation | Dec 20, 2023 | Fairness | CodeCode Available | 0 |
| Learning Fair Policies for Multi-stage Selection Problems from Observational Data | Dec 20, 2023 | Causal InferenceFairness | —Unverified | 0 |
| Dynamic Fairness-Aware Spectrum Auction for Enhanced Licensed Shared Access in 6G Networks | Dec 20, 2023 | Deep Reinforcement LearningFairness | —Unverified | 0 |
| An empirical study of testing machine learning in the wild | Dec 19, 2023 | Autonomous DrivingFairness | —Unverified | 0 |
| Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360 | Dec 19, 2023 | Binary ClassificationFairness | —Unverified | 0 |
| GroupMixNorm Layer for Learning Fair Models | Dec 19, 2023 | AttributeFairness | —Unverified | 0 |
| Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection | Dec 19, 2023 | Decision MakingFairness | —Unverified | 0 |
| Chasing Fairness in Graphs: A GNN Architecture Perspective | Dec 19, 2023 | AttributeContrastive Learning | CodeCode Available | 0 |
| Uncertainty-based Fairness Measures | Dec 18, 2023 | Fairness | —Unverified | 0 |
