{"total":16,"rows":[{"id":"2205.13619","title":"Fairness in Recommendation: Foundations, Methods and Applications","created":"2022-05-26","cited_by_count":27,"area":null},{"id":"2305.18569","title":"Fairness of ChatGPT","created":"2023-05-22","cited_by_count":20,"area":null},{"id":"2305.11386","title":"Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods","created":"2023-05-19","cited_by_count":17,"area":null},{"id":"2302.09400","title":"Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning","created":"2023-02-18","cited_by_count":7,"area":null},{"id":"2309.07085","title":"Mitigating Group Bias in Federated Learning for Heterogeneous Devices","created":"2023-09-13","cited_by_count":5,"area":null},{"id":"2406.17102","title":"Achieving Fairness Across Local and Global Models in Federated Learning","created":"2024-06-24","cited_by_count":5,"area":null},{"id":"2304.13950","title":"Fairness Uncertainty Quantification: How certain are you that the model is fair?","created":"2023-04-27","cited_by_count":4,"area":null},{"id":"2307.15838","title":"Holistic Survey of Privacy and Fairness in Machine Learning","created":"2023-07-28","cited_by_count":4,"area":null},{"id":"2312.03259","title":"f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization","created":"2023-12-06","cited_by_count":4,"area":null},{"id":"2401.07697","title":"Data vs. Model Machine Learning Fairness Testing: An Empirical Study","created":"2024-01-15","cited_by_count":4,"area":null},{"id":"2401.00902","title":"Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction","created":"2023-12-31","cited_by_count":2,"area":null},{"id":"2302.14329","title":"Towards Personalized Preprocessing Pipeline Search","created":"2023-02-28","cited_by_count":1,"area":null},{"id":"2307.04105","title":"Towards Assumption-free Bias Mitigation","created":"2023-07-09","cited_by_count":1,"area":null},{"id":"2409.01367","title":"Debiasing Graph Representation Learning based on Information Bottleneck","created":"2024-09-02","cited_by_count":1,"area":null},{"id":"2204.10467","title":"Neural Contrastive Clustering: Fully Unsupervised Bias Reduction for Sentiment Classification","created":"2022-04-22","cited_by_count":0,"area":null},{"id":"2403.08564","title":"Generalizing Fairness to Generative Language Models via Reformulation of Non-discrimination Criteria","created":"2024-03-13","cited_by_count":0,"area":null}],"next_cursor":null}