| An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises | Jun 15, 2021 | FairnessSynthetic Data Generation | —Unverified | 0 |
| Analyzing the Ethical Logic of Six Large Language Models | Jan 15, 2025 | FairnessPhilosophy | —Unverified | 0 |
| A Differentiable Rank-Based Objective For Better Feature Learning | Feb 13, 2025 | FairnessVariable Selection | —Unverified | 0 |
| Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects | Jul 26, 2024 | FairnessInterpretable Machine Learning | —Unverified | 0 |
| Beyond Dataset Creation: Critical View of Annotation Variation and Bias Probing of a Dataset for Online Radical Content Detection | Dec 16, 2024 | Fairness | —Unverified | 0 |
| Beyond Global Metrics: A Fairness Analysis for Interpretable Voice Disorder Detection Systems | Apr 11, 2025 | Fairness | —Unverified | 0 |
| A Benchmark for Fairness-Aware Graph Learning | Jul 16, 2024 | Computational EfficiencyFairness | —Unverified | 0 |
| Analyzing Fairness of Computer Vision and Natural Language Processing Models | Dec 13, 2024 | Fairness | —Unverified | 0 |
| Metric Learning for Individual Fairness | Jun 1, 2019 | FairnessMetric Learning | —Unverified | 0 |
| Analyzing Fairness of Classification Machine Learning Model with Structured Dataset | Dec 13, 2024 | Fairness | —Unverified | 0 |
