| On Generalized Degree Fairness in Graph Neural Networks | Feb 8, 2023 | FairnessGraph Neural Network | CodeCode Available | 0 |
| Machine Learning for Synthetic Data Generation: A Review | Feb 8, 2023 | FairnessSynthetic Data Generation | —Unverified | 0 |
| On the Richness of Calibration | Feb 8, 2023 | Fairness | —Unverified | 0 |
| To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods | Feb 7, 2023 | EthicsFairness | —Unverified | 0 |
| A conceptual model for leaving the data-centric approach in machine learning | Feb 7, 2023 | Fairness | —Unverified | 0 |
| Robustness Implies Fairness in Causal Algorithmic Recourse | Feb 7, 2023 | Adversarial RobustnessFairness | CodeCode Available | 0 |
| From Utilitarian to Rawlsian Designs for Algorithmic Fairness | Feb 7, 2023 | Fairness | —Unverified | 0 |
| Ethical Considerations for Responsible Data Curation | Feb 7, 2023 | DiversityFairness | CodeCode Available | 0 |
| An Empirical Analysis of Fairness Notions under Differential Privacy | Feb 6, 2023 | Fairness | —Unverified | 0 |
| Fair Minimum Representation Clustering | Feb 6, 2023 | ClusteringFairness | —Unverified | 0 |