| CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement | Mar 11, 2025 | DisentanglementFairness | —Unverified | 0 | 0 |
| Exchanging Lessons Between Algorithmic Fairness and Domain Generalization | Sep 28, 2020 | Domain GeneralizationFairness | —Unverified | 0 | 0 |
| CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers | Jul 17, 2019 | FairnessReinforcement Learning | —Unverified | 0 | 0 |
| Fair Active Learning: Solving the Labeling Problem in Insurance | Dec 17, 2021 | Active LearningFairness | —Unverified | 0 | 0 |
| Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials | Jun 20, 2023 | FairnessSpeaker Verification | —Unverified | 0 | 0 |
| FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity | Aug 22, 2018 | Fairness | —Unverified | 0 | 0 |
| ExCalibR: Expected Calibration of Recommendations | Apr 24, 2023 | FairnessMovie Recommendation | —Unverified | 0 | 0 |
| Example-based Explanations for Random Forests using Machine Unlearning | Feb 7, 2024 | FairnessMachine Unlearning | —Unverified | 0 | 0 |
| CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning | May 28, 2025 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Examining the Interplay Between Privacy and Fairness for Speech Processing: A Review and Perspective | Aug 27, 2024 | Fairness | —Unverified | 0 | 0 |
