| fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation | Apr 1, 2021 | Bias DetectionFairness | CodeCode Available | 0 |
| On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness | Jul 23, 2024 | FairnessFederated Learning | CodeCode Available | 0 |
| Interpretable and Fair Mechanisms for Abstaining Classifiers | Mar 24, 2025 | Fairness | CodeCode Available | 0 |
| On Adversarial Bias and the Robustness of Fair Machine Learning | Jun 15, 2020 | BIG-bench Machine LearningData Poisoning | CodeCode Available | 0 |
| Towards Effective Discrimination Testing for Generative AI | Dec 30, 2024 | Fairness | CodeCode Available | 0 |
| On Baselines for Local Feature Attributions | Jan 4, 2021 | Fairness | CodeCode Available | 0 |
| Randomized Kaczmarz Algorithm for Massive MIMO Systems with Channel Estimation and Spatial Correlation | Apr 8, 2019 | Fairness | CodeCode Available | 0 |
| Uplift modeling with continuous treatments: A predict-then-optimize approach | Dec 12, 2024 | Fairness | CodeCode Available | 0 |
| Fair Multiple Decision Making Through Soft Interventions | Dec 1, 2020 | Decision MakingFairness | CodeCode Available | 0 |
| Standardized Interpretable Fairness Measures for Continuous Risk Scores | Aug 22, 2023 | Fairness | CodeCode Available | 0 |
| FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search | Jul 3, 2019 | FairnessImage Classification | CodeCode Available | 0 |
| Fair Near Neighbor Search: Independent Range Sampling in High Dimensions | Jun 5, 2019 | FairnessVocal Bursts Intensity Prediction | CodeCode Available | 0 |
| Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations | Jan 14, 2024 | Decision MakingFairness | CodeCode Available | 0 |
| Fairness-Accuracy Trade-Offs: A Causal Perspective | May 24, 2024 | AttributeFairness | CodeCode Available | 0 |
| Tuning Fairness by Balancing Target Labels | Oct 12, 2018 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Interpretable Machine Learning for Survival Analysis | Mar 15, 2024 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | CodeCode Available | 0 |
| On Causally Disentangled Representations | Dec 10, 2021 | DisentanglementFairness | CodeCode Available | 0 |
| Calibrate to Interpret | Jul 7, 2022 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |
| Interpret the Internal States of Recommendation Model with Sparse Autoencoder | Nov 9, 2024 | Explainable RecommendationFairness | CodeCode Available | 0 |
| Fairness and Accuracy under Domain Generalization | Jan 30, 2023 | Domain GeneralizationFairness | CodeCode Available | 0 |
| Fairness and bias correction in machine learning for depression prediction: results from four study populations | Nov 10, 2022 | FairnessModel Selection | CodeCode Available | 0 |
| On the Problem of Underranking in Group-Fair Ranking | Sep 24, 2020 | FairnessLearning-To-Rank | CodeCode Available | 0 |
| Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation | Jan 14, 2025 | Fairness | CodeCode Available | 0 |
| On-Demand Sampling: Learning Optimally from Multiple Distributions | Oct 22, 2022 | FairnessFederated Learning | CodeCode Available | 0 |
| Intersectionality: Multiple Group Fairness in Expectation Constraints | Nov 25, 2018 | BIG-bench Machine LearningFairness | CodeCode Available | 0 |