| Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context | Jun 17, 2020 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| Extension of Sparse Randomized Kaczmarz Algorithm for Multiple Measurement Vectors | Jan 10, 2014 | Face RecognitionFairness | —Unverified | 0 |
| Extracting Fairness Policies from Legal Documents | Sep 12, 2018 | BIG-bench Machine LearningFairness | —Unverified | 0 |
| FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling | Oct 3, 2023 | Fairness | —Unverified | 0 |
| FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation | Oct 17, 2024 | Data AugmentationDiversity | —Unverified | 0 |
| FACET: Fairness in Computer Vision Evaluation Benchmark | Aug 31, 2023 | Fairnessimage-classification | —Unverified | 0 |
| Facets of Fairness in Search and Recommendation | Jul 16, 2020 | DiversityFairness | —Unverified | 0 |
| Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral Tendencies | Oct 13, 2024 | FairnessManagement | —Unverified | 0 |
| FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems | Feb 5, 2025 | Conformal PredictionFairness | —Unverified | 0 |
| Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness | Mar 16, 2023 | Fairness | —Unverified | 0 |
| Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials | Jun 20, 2023 | FairnessSpeaker Verification | —Unverified | 0 |
| FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity | Aug 22, 2018 | Fairness | —Unverified | 0 |
| FADE: Adversarial Concept Erasure in Flow Models | Jul 16, 2025 | FairnessImage Generation | —Unverified | 0 |
| FADES: Fair Disentanglement with Sensitive Relevance | Jan 1, 2024 | counterfactualDisentanglement | —Unverified | 0 |
| FAE: A Fairness-Aware Ensemble Framework | Feb 3, 2020 | BIG-bench Machine LearningDecision Making | —Unverified | 0 |
| Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation | Oct 2, 2024 | Fairness | —Unverified | 0 |
| FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training | Apr 12, 2025 | Contrastive LearningFairness | —Unverified | 0 |
| Fair Active Learning in Low-Data Regimes | Dec 13, 2023 | Active LearningFairness | —Unverified | 0 |
| Fair Active Ranking from Pairwise Preferences | Feb 5, 2024 | Fairness | —Unverified | 0 |
| Fair Adversarial Networks | Feb 23, 2020 | Fairness | —Unverified | 0 |
| FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications | Jul 26, 2024 | EthicsFairness | —Unverified | 0 |
| Fair Algorithm Design: Fair and Efficacious Machine Scheduling | Apr 13, 2022 | Decision MakingFairness | —Unverified | 0 |
| Fair Algorithms for Hierarchical Agglomerative Clustering | May 7, 2020 | ClusteringFairness | —Unverified | 0 |
| Fair Algorithms for Infinite and Contextual Bandits | Oct 29, 2016 | FairnessMulti-Armed Bandits | —Unverified | 0 |
| Fair Algorithms for Learning in Allocation Problems | Aug 30, 2018 | Fairness | —Unverified | 0 |