| FNAS: Uncertainty-Aware Fast Neural Architecture Search | May 25, 2021 | FairnessGPU | —Unverified | 0 |
| FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data | Jul 21, 2022 | FairnessFederated Learning | —Unverified | 0 |
| Formalising Anti-Discrimination Law in Automated Decision Systems | Jun 29, 2024 | FairnessLegal Reasoning | —Unverified | 0 |
| FORML: Learning to Reweight Data for Fairness | Feb 3, 2022 | Fairnessimage-classification | —Unverified | 0 |
| Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution | Jan 1, 2025 | Data PoisoningData Valuation | —Unverified | 0 |
| Foundation Models Meet Visualizations: Challenges and Opportunities | Oct 9, 2023 | Fairness | —Unverified | 0 |
| Efficient and fair trading algorithms in market design environments | May 14, 2020 | Fairness | —Unverified | 0 |
| Fractional Top Trading Cycle on the Full Preference Domain | May 19, 2020 | Fairness | —Unverified | 0 |
| FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection | May 30, 2023 | Deep Reinforcement LearningDiversity | —Unverified | 0 |
| FRAPPE: A Group Fairness Framework for Post-Processing Everything | Dec 5, 2023 | Fairness | —Unverified | 0 |
