| Algorithmic Fairness | Jan 21, 2020 | Decision MakingFairness | —Unverified | 0 | 0 |
| FaRM: Fair Reward Mechanism for Information Aggregation in Spontaneous Localized Settings (Extended Version) | Jun 10, 2019 | Fairness | —Unverified | 0 | 0 |
| FARF: A Fair and Adaptive Random Forests Classifier | Aug 17, 2021 | Decision MakingFairness | —Unverified | 0 | 0 |
| De-biased Representation Learning for Fairness with Unreliable Labels | Aug 1, 2022 | FairnessRepresentation Learning | —Unverified | 0 | 0 |
| FALE: Fairness-Aware ALE Plots for Auditing Bias in Subgroups | Apr 29, 2024 | AttributeFairness | —Unverified | 0 | 0 |
| FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding | Nov 27, 2023 | Continual LearningContinual Semantic Segmentation | —Unverified | 0 | 0 |
| Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications | Nov 15, 2024 | Contrastive LearningDiagnostic | —Unverified | 0 | 0 |
| Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness | Nov 17, 2020 | Active LearningFairness | —Unverified | 0 | 0 |
| FairyTED: A Fair Rating Predictor for TED Talk Data | Nov 25, 2019 | counterfactualFairness | —Unverified | 0 | 0 |
| FairXGBoost: Fairness-aware Classification in XGBoost | Sep 3, 2020 | ClassificationFairness | —Unverified | 0 | 0 |
| Flexibly Fair Representation Learning by Disentanglement | Jun 6, 2019 | DisentanglementFairness | —Unverified | 0 | 0 |
| Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs | Jan 9, 2020 | Common Sense ReasoningFact Checking | —Unverified | 0 | 0 |
| FairWire: Fair Graph Generation | Feb 6, 2024 | FairnessGraph Generation | —Unverified | 0 | 0 |
| Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings | Feb 10, 2022 | counterfactualFairness | —Unverified | 0 | 0 |
| DeAR: Debiasing Vision-Language Models with Additive Residuals | Mar 18, 2023 | AttributeBenchmarking | —Unverified | 0 | 0 |
| Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models | May 17, 2024 | Decision MakingFairness | —Unverified | 0 | 0 |
| FNAS: Uncertainty-Aware Fast Neural Architecture Search | May 25, 2021 | FairnessGPU | —Unverified | 0 | 0 |
| FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data | Jul 21, 2022 | FairnessFederated Learning | —Unverified | 0 | 0 |
| Algorithm Design: A Fairness-Accuracy Frontier | Dec 18, 2021 | Fairness | —Unverified | 0 | 0 |
| Formalising Anti-Discrimination Law in Automated Decision Systems | Jun 29, 2024 | FairnessLegal Reasoning | —Unverified | 0 | 0 |
| A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs | Sep 18, 2024 | Conformal PredictionFairness | —Unverified | 0 | 0 |
| Fair Wasserstein Coresets | Nov 9, 2023 | ClusteringDecision Making | —Unverified | 0 | 0 |
| Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution | Jan 1, 2025 | Data PoisoningData Valuation | —Unverified | 0 | 0 |
| FairWASP: Fast and Optimal Fair Wasserstein Pre-processing | Oct 31, 2023 | Fairness | —Unverified | 0 | 0 |
| De-amplifying Bias from Differential Privacy in Language Model Fine-tuning | Feb 7, 2024 | counterfactualData Augmentation | —Unverified | 0 | 0 |