| FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity | Aug 22, 2018 | Fairness | —Unverified | 0 | 0 |
| 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 |
| FAE: A Fairness-Aware Ensemble Framework | Feb 3, 2020 | BIG-bench Machine LearningDecision Making | —Unverified | 0 | 0 |
| Fair Active Learning: Solving the Labeling Problem in Insurance | Dec 17, 2021 | Active LearningFairness | —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 |
| Examining risks of racial biases in NLP tools for child protective services | May 30, 2023 | coreference-resolutionCoreference Resolution | —Unverified | 0 | 0 |
| Fair Active Learning in Low-Data Regimes | Dec 13, 2023 | Active LearningFairness | —Unverified | 0 | 0 |
| Fair Active Ranking from Pairwise Preferences | Feb 5, 2024 | Fairness | —Unverified | 0 | 0 |
| Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation | Sep 17, 2024 | FairnessRecommendation Systems | —Unverified | 0 | 0 |
| Examining Imbalance Effects on Performance and Demographic Fairness of Clinical Language Models | Dec 23, 2024 | Fairness | —Unverified | 0 | 0 |
| EXAGREE: Towards Explanation Agreement in Explainable Machine Learning | Nov 4, 2024 | Fairness | —Unverified | 0 | 0 |
| Fair Adversarial Networks | Feb 23, 2020 | Fairness | —Unverified | 0 | 0 |
| Bundled School Choice | Jan 8, 2025 | Fairness | —Unverified | 0 | 0 |
| A Novel Terabit Grid-of-Beam Optical Wireless Multi-User Access Network with Beam Clustering | Apr 5, 2024 | ClusteringFairness | —Unverified | 0 | 0 |
| Fair Algorithm Design: Fair and Efficacious Machine Scheduling | Apr 13, 2022 | Decision MakingFairness | —Unverified | 0 | 0 |
| A Novel Regularization Approach to Fair ML | Aug 13, 2022 | Fairness | —Unverified | 0 | 0 |
| Abstracting Fairness: Oracles, Metrics, and Interpretability | Apr 4, 2020 | FairnessGeneral Classification | —Unverified | 0 | 0 |
| Fair Algorithms for Infinite and Contextual Bandits | Oct 29, 2016 | FairnessMulti-Armed Bandits | —Unverified | 0 | 0 |
| Fair Algorithms for Learning in Allocation Problems | Aug 30, 2018 | Fairness | —Unverified | 0 | 0 |
| Evolutionary Reinforcement Learning: A Systematic Review and Future Directions | Feb 20, 2024 | Adversarial RobustnessEvolutionary Algorithms | —Unverified | 0 | 0 |