| 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 |
| FreqX: Analyze the Attribution Methods in Another Domain | Nov 27, 2024 | Fairness | —Unverified | 0 |
| FR-GAN: Fair and Robust Training | Sep 25, 2019 | AttributeData Poisoning | —Unverified | 0 |
| FROG: Fair Removal on Graphs | Mar 23, 2025 | FairnessMachine Unlearning | —Unverified | 0 |
| From Coders to Critics: Empowering Students through Peer Assessment in the Age of AI Copilots | May 28, 2025 | Fairness | —Unverified | 0 |
| From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance | Jan 30, 2025 | DenoisingDrug Discovery | —Unverified | 0 |
| From Deception to Perception: The Surprising Benefits of Deepfakes for Detecting, Measuring, and Mitigating Bias | Feb 16, 2025 | Face SwappingFairness | —Unverified | 0 |
| From Discrete to Continuous: Deep Fair Clustering With Transferable Representations | Mar 24, 2024 | ClusteringFairness | —Unverified | 0 |
| From Efficiency to Equity: Measuring Fairness in Preference Learning | Oct 24, 2024 | Decision MakingEthics | —Unverified | 0 |
| From English-Centric to Effective Bilingual: LLMs with Custom Tokenizers for Underrepresented Languages | Oct 24, 2024 | Fairness | —Unverified | 0 |
| From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits? | Dec 18, 2024 | Fairness | —Unverified | 0 |
| From Fair Decision Making to Social Equality | Dec 7, 2018 | Decision MakingFairness | —Unverified | 0 |
| From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs | Nov 26, 2024 | Fairness | —Unverified | 0 |
| From Fairness to Truthfulness: Rethinking Data Valuation Design | Apr 7, 2025 | Data ValuationFairness | —Unverified | 0 |
| From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling | Oct 17, 2023 | counterfactualDensity Estimation | —Unverified | 0 |
| From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation | Jan 7, 2021 | FairnessRobot Navigation | —Unverified | 0 |