| Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML | Mar 15, 2023 | AutoMLFairness | —Unverified | 0 | 0 |
| Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference | Oct 19, 2020 | Bayesian InferenceFairness | —Unverified | 0 | 0 |
| Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare | Jan 24, 2024 | Fairness | —Unverified | 0 | 0 |
| Can large language models be privacy preserving and fair medical coders? | Dec 7, 2024 | FairnessPrivacy Preserving | —Unverified | 0 | 0 |
| Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility study | May 31, 2024 | Fairness | —Unverified | 0 | 0 |
| Can Model Compression Improve NLP Fairness | Jan 21, 2022 | FairnessKnowledge Distillation | —Unverified | 0 | 0 |
| Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness | Feb 21, 2024 | AllDiversity | —Unverified | 0 | 0 |
| Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity | Nov 3, 2022 | Attributecompressed sensing | —Unverified | 0 | 0 |
| Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms | Jan 3, 2025 | FairnessSynthetic Data Generation | —Unverified | 0 | 0 |
| Can We Improve Model Robustness through Secondary Attribute Counterfactuals? | Nov 1, 2021 | Attributecoreference-resolution | —Unverified | 0 | 0 |
