| DECAF: Learning to be Fair in Multi-agent Resource Allocation | Feb 6, 2025 | FairnessQ-Learning | —Unverified | 0 | 0 |
| A Unified Framework for Input Feature Attribution Analysis | Jun 21, 2024 | Decision MakingDiagnostic | —Unverified | 0 | 0 |
| Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models | Jun 20, 2022 | Fairnessregression | —Unverified | 0 | 0 |
| A Unified Framework for Fair Spectral Clustering With Effective Graph Learning | Nov 23, 2023 | ClusteringFairness | —Unverified | 0 | 0 |
| Fault Tolerance of Neural Networks in Adversarial Settings | Oct 30, 2019 | Adversarial RobustnessFairness | —Unverified | 0 | 0 |
| Fault Diagnosis of Discrete-Event Systems under Non-Deterministic Observations with Output Fairness | Apr 6, 2022 | FairnessFault Diagnosis | —Unverified | 0 | 0 |
| Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation | Aug 24, 2022 | FairnessInformation Retrieval | —Unverified | 0 | 0 |
| A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications | Dec 5, 2024 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 | 0 |
| Algorithmic Fairness and Statistical Discrimination | Aug 17, 2022 | Decision MakingFairness | —Unverified | 0 | 0 |
| Ad Auctions for LLMs via Retrieval Augmented Generation | Jun 12, 2024 | FairnessRAG | —Unverified | 0 | 0 |
