| Fair Effect Attribution in Parallel Online Experiments | Oct 15, 2022 | AttributeCausal Inference | —Unverified | 0 | 0 |
| Fair Empirical Risk Minimization via Exponential Rényi Mutual Information | Jan 1, 2021 | AttributeFairness | —Unverified | 0 | 0 |
| FairFaceGAN: Fairness-aware Facial Image-to-Image Translation | Dec 1, 2020 | AttributeFairness | —Unverified | 0 | 0 |
| Fair for a few: Improving Fairness in Doubly Imbalanced Datasets | Jun 17, 2025 | AttributeDecision Making | —Unverified | 0 | 0 |
| Fair Forests: Regularized Tree Induction to Minimize Model Bias | Dec 21, 2017 | AttributeFairness | —Unverified | 0 | 0 |
| Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention | Jun 16, 2025 | AttributeImage Generation | —Unverified | 0 | 0 |
| Fair Group-Shared Representations with Normalizing Flows | Jan 17, 2022 | AttributeFairness | —Unverified | 0 | 0 |
| Fairly Adaptive Negative Sampling for Recommendations | Feb 16, 2023 | AttributeFairness | —Unverified | 0 | 0 |
| Fair mapping | Sep 1, 2022 | AttributeFairness | —Unverified | 0 | 0 |
| Fair Meta-Learning: Learning How to Learn Fairly | Nov 6, 2019 | AttributeFairness | —Unverified | 0 | 0 |
| Fair Multi-Exit Framework for Facial Attribute Classification | Jan 8, 2023 | AttributeClassification | —Unverified | 0 | 0 |
| Fairness and robustness in anti-causal prediction | Sep 20, 2022 | AttributeFairness | —Unverified | 0 | 0 |
| Fairness at Every Intersection: Uncovering and Mitigating Intersectional Biases in Multimodal Clinical Predictions | Nov 30, 2024 | AttributeFairness | —Unverified | 0 | 0 |
| Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features | Feb 23, 2022 | AttributeBinary Classification | —Unverified | 0 | 0 |
| FairRec: Fairness-aware News Recommendation with Decomposed Adversarial Learning | Jun 30, 2020 | AttributeFairness | —Unverified | 0 | 0 |
| Fairness Aware Reinforcement Learning via Proximal Policy Optimization | Feb 6, 2025 | Attributecounterfactual | —Unverified | 0 | 0 |
| Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality | Mar 27, 2019 | AttributeDecision Making | —Unverified | 0 | 0 |
| Fairness in Clustering with Multiple Sensitive Attributes | Oct 11, 2019 | AttributeClustering | —Unverified | 0 | 0 |
| Fairness in Machine Learning with Tractable Models | May 16, 2019 | AttributeBIG-bench Machine Learning | —Unverified | 0 | 0 |
| Fairness in Submodular Maximization over a Matroid Constraint | Dec 21, 2023 | AttributeDecision Making | —Unverified | 0 | 0 |
| Fairness in Supervised Learning: An Information Theoretic Approach | Jan 13, 2018 | AttributeDecision Making | —Unverified | 0 | 0 |
| Fairness in Visual Clustering: A Novel Transformer Clustering Approach | Apr 14, 2023 | AttributeClustering | —Unverified | 0 | 0 |
| Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data | Sep 7, 2018 | AttributeFairness | —Unverified | 0 | 0 |
| Fairness via Adversarial Attribute Neighbourhood Robust Learning | Oct 12, 2022 | AttributeFairness | —Unverified | 0 | 0 |
| Fairness via Representation Neutralization | Jun 23, 2021 | AttributeClassification | —Unverified | 0 | 0 |