| Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations | Oct 10, 2024 | FairnessFeature Importance | CodeCode Available | 1 | 5 |
| An Approach to Ensure Fairness in News Articles | Jul 8, 2022 | ArticlesFairness | CodeCode Available | 1 | 5 |
| Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection | Apr 16, 2020 | FairnessMulti-class Classification | CodeCode Available | 1 | 5 |
| On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections | Jan 1, 2021 | FairnessLink Prediction | CodeCode Available | 1 | 5 |
| Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations | Jan 21, 2022 | FairnessRecommendation Systems | CodeCode Available | 1 | 5 |
| DISSECT: Disentangled Simultaneous Explanations via Concept Traversals | May 31, 2021 | counterfactualFairness | CodeCode Available | 1 | 5 |
| Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness | Jun 15, 2021 | counterfactualCounterfactual Inference | CodeCode Available | 1 | 5 |
| Controlling Fairness and Bias in Dynamic Learning-to-Rank | May 29, 2020 | ArticlesFairness | CodeCode Available | 1 | 5 |
| Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation | Jan 11, 2021 | Fairness | CodeCode Available | 1 | 5 |
| Delayed Impact of Fair Machine Learning | Mar 12, 2018 | BIG-bench Machine LearningFairness | CodeCode Available | 1 | 5 |
