{"total":13,"rows":[{"id":"2310.14772","title":"Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms","created":"2023-10-23","cited_by_count":36,"area":null},{"id":"2210.08367","title":"Active Learning with Neural Networks: Insights from Nonparametric Statistics","created":"2022-10-15","cited_by_count":13,"area":null},{"id":"2211.12620","title":"Promises and Pitfalls of Threshold-based Auto-labeling","created":"2022-11-22","cited_by_count":6,"area":null},{"id":"2408.01694","title":"Bayesian Active Learning for Semantic Segmentation","created":"2024-08-03","cited_by_count":5,"area":null},{"id":"2310.18601","title":"Online Decision Mediation","created":"2023-10-28","cited_by_count":4,"area":null},{"id":"2602.09456","title":"Taming the Monster Every Context: Complexity Measure and Unified Framework for Offline-Oracle Efficient Contextual Bandits","created":"2026-02-10","cited_by_count":4,"area":null},{"id":"2510.03247","title":"Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data","created":"2025-09-25","cited_by_count":3,"area":null},{"id":"2501.13810","title":"Learning to Help in Multi-Class Settings","created":"2025-01-23","cited_by_count":2,"area":null},{"id":"2506.17607","title":"Towards Fundamental Limits for Active Multi-distribution Learning","created":"2025-06-21","cited_by_count":1,"area":null},{"id":"2506.00316","title":"Active Learning via Regression Beyond Realizability","created":"2025-05-31","cited_by_count":0,"area":null},{"id":"2605.30786","title":"AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.07630","title":"Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance","created":"2026-05-30","cited_by_count":0,"area":null},{"id":"2609.31643","title":"Information Design Against Gaming and Learning Adversaries","created":"2026-09-12","cited_by_count":0,"area":null}],"next_cursor":null}