| A survey on datasets for fairness-aware machine learning | Oct 1, 2021 | AttributeBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Explainable AI for Bioinformatics: Methods, Tools, and Applications | Dec 25, 2022 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | CodeCode Available | 1 | 5 |
| Controlling Fairness and Bias in Dynamic Learning-to-Rank | May 29, 2020 | ArticlesFairness | CodeCode Available | 1 | 5 |
| Controlling Directions Orthogonal to a Classifier | Jan 27, 2022 | Domain AdaptationFairness | CodeCode Available | 1 | 5 |
| Attack of the Tails: Yes, You Really Can Backdoor Federated Learning | Jul 9, 2020 | FairnessFederated Learning | CodeCode Available | 1 | 5 |
| Fair Abstractive Summarization of Diverse Perspectives | Nov 14, 2023 | Abstractive Text SummarizationFairness | CodeCode Available | 1 | 5 |
| Minimax Group Fairness: Algorithms and Experiments | Nov 5, 2020 | Fairness | CodeCode Available | 1 | 5 |
| FairBatch: Batch Selection for Model Fairness | Dec 3, 2020 | BIG-bench Machine LearningBilevel Optimization | CodeCode Available | 1 | 5 |
| Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness | Jun 15, 2021 | counterfactualCounterfactual Inference | 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 |
