{"total":18,"rows":[{"id":"2306.02426","title":"Resilient Constrained Learning","created":"2023-06-04","cited_by_count":15,"area":null},{"id":"2308.00994","title":"SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems","created":"2023-08-02","cited_by_count":13,"area":null},{"id":"2402.17729","title":"Towards Fairness-Aware Adversarial Learning","created":"2024-02-27","cited_by_count":11,"area":null},{"id":"2406.16756","title":"Addressing Polarization and Unfairness in Performative Prediction","created":"2024-06-24","cited_by_count":11,"area":null},{"id":"2303.01928","title":"Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values","created":"2023-03-03","cited_by_count":7,"area":null},{"id":"2409.18470","title":"Fairness without Sensitive Attributes via Knowledge Sharing","created":"2024-09-27","cited_by_count":6,"area":null},{"id":"2310.11401","title":"Enhancing Group Fairness in Online Settings Using Oblique Decision Forests","created":"2023-10-17","cited_by_count":3,"area":null},{"id":"2406.03255","title":"On the Maximal Local Disparity of Fairness-Aware Classifiers","created":"2024-06-05","cited_by_count":3,"area":null},{"id":"2311.05866","title":"Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes","created":"2023-11-10","cited_by_count":2,"area":null},{"id":"2403.08425","title":"Specification Overfitting in Artificial Intelligence","created":"2024-03-13","cited_by_count":2,"area":null},{"id":"2410.13831","title":"The Disparate Benefits of Deep Ensembles","created":"2024-10-17","cited_by_count":2,"area":null},{"id":"2503.06150","title":"Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2602.00205","title":"Reducing Class-Wise Performance Disparity via Margin Regularization","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2410.01324","title":"Fair Class-Incremental Learning using Sample Weighting","created":"2024-10-02","cited_by_count":0,"area":null},{"id":"2502.11031","title":"A Critical Review of Predominant Bias in Neural Networks","created":"2025-02-16","cited_by_count":0,"area":null},{"id":"2508.18826","title":"SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2509.26241","title":"From Fragile to Certified: Wasserstein Audits of Group Fairness Under Distribution Shift","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2606.00656","title":"Demystifying the Optimal Fair Classifier in Multi-Class Classification","created":"2026-05-30","cited_by_count":0,"area":null}],"next_cursor":null}