| Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness | Jun 15, 2021 | counterfactualCounterfactual Inference | CodeCode Available | 1 | 5 |
| Datasets for Fairness in Language Models: An In-Depth Survey | Jun 29, 2025 | Fairness | CodeCode Available | 1 | 5 |
| Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach | Aug 3, 2020 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 | 5 |
| Controlling Directions Orthogonal to a Classifier | Jan 27, 2022 | Domain AdaptationFairness | CodeCode Available | 1 | 5 |
| Deconfounded Recommendation for Alleviating Bias Amplification | May 22, 2021 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Deep Clustering based Fair Outlier Detection | Jun 9, 2021 | AttributeClustering | CodeCode Available | 1 | 5 |
| Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations | Jan 21, 2022 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| Deontological Ethics By Monotonicity Shape Constraints | Jan 31, 2020 | EthicsFairness | CodeCode Available | 1 | 5 |
| Rule Generation for Classification: Scalability, Interpretability, and Fairness | Apr 21, 2021 | ClassificationFairness | CodeCode Available | 1 | 5 |
| Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud | Sep 7, 2021 | Bias DetectionBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
