| Interpolating Item and User Fairness in Multi-Sided Recommendations | Jun 12, 2023 | FairnessRecommendation Systems | —Unverified | 0 |
| Interpretability in Symbolic Regression: a benchmark of Explanatory Methods using the Feynman data set | Apr 8, 2024 | Fairnessregression | —Unverified | 0 |
| Interpretable and Fair Boolean Rule Sets via Column Generation | Nov 16, 2021 | ClassificationFairness | —Unverified | 0 |
| Interpretable Artificial Intelligence through the Lens of Feature Interaction | Mar 1, 2021 | Deep LearningFairness | —Unverified | 0 |
| Interpretable Assessment of Fairness During Model Evaluation | Oct 26, 2020 | ClusteringFairness | —Unverified | 0 |
| Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance | Mar 10, 2021 | Data AugmentationFairness | —Unverified | 0 |
| Interpretable Data-Based Explanations for Fairness Debugging | Dec 17, 2021 | BIG-bench Machine LearningExplainable artificial intelligence | —Unverified | 0 |
| Interpretable Deep Convolutional Neural Networks via Meta-learning | Feb 2, 2018 | ClusteringFairness | —Unverified | 0 |
| Interpretable Face Manipulation Detection via Feature Whitening | Jun 21, 2021 | Fairness | —Unverified | 0 |
| On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural Language | Jul 24, 2023 | Fairness | —Unverified | 0 |