| SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration | Sep 17, 2024 | Benchmarkingcounterfactual | CodeCode Available | 0 |
| Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness | Sep 17, 2024 | FairnessLanguage Modeling | —Unverified | 0 |
| Fairness, not Emotion, Drives Socioeconomic Decision Making | Sep 16, 2024 | ClusteringDecision Making | —Unverified | 0 |
| A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach | Sep 16, 2024 | AttributeFairness | —Unverified | 0 |
| Bias Begets Bias: The Impact of Biased Embeddings on Diffusion Models | Sep 15, 2024 | DiversityFairness | —Unverified | 0 |
| A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal View | Sep 15, 2024 | FairnessOut-of-Distribution Generalization | —Unverified | 0 |
| LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels | Sep 14, 2024 | AttributeFace Recognition | —Unverified | 0 |
| Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning | Sep 14, 2024 | Bilevel OptimizationDistributed Computing | —Unverified | 0 |
| Fair CoVariance Neural Networks | Sep 13, 2024 | Fairness | —Unverified | 0 |
| Promoting Fairness in Link Prediction with Graph Enhancement | Sep 13, 2024 | FairnessLink Prediction | —Unverified | 0 |