{"total":15,"rows":[{"id":"2302.02865","title":"Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs","created":"2023-02-06","cited_by_count":29,"area":null},{"id":"2306.12306","title":"Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift","created":"2023-06-21","cited_by_count":20,"area":null},{"id":"2405.15047","title":"Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification","created":"2024-05-23","cited_by_count":13,"area":null},{"id":"2405.02918","title":"MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging","created":"2024-05-05","cited_by_count":12,"area":null},{"id":"2306.10060","title":"MUBen: Benchmarking the Uncertainty of Molecular Representation Models","created":"2023-06-14","cited_by_count":11,"area":null},{"id":"2504.18433","title":"An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression","created":"2025-04-25","cited_by_count":9,"area":null},{"id":"2602.08470","title":"Learning Credal Ensembles via Distributionally Robust Optimization","created":"2026-02-09","cited_by_count":7,"area":null},{"id":"2506.18162","title":"Pitfalls of Conformal Predictions for Medical Image Classification","created":"2025-06-22","cited_by_count":6,"area":null},{"id":"2512.09315","title":"Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook","created":"2025-12-10","cited_by_count":3,"area":null},{"id":"2403.16594","title":"EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation","created":"2024-03-25","cited_by_count":2,"area":null},{"id":"2502.03982","title":"Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR Models","created":"2025-02-06","cited_by_count":1,"area":null},{"id":"2602.22747","title":"Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study","created":"2026-02-26","cited_by_count":1,"area":null},{"id":"2312.09719","title":"On the calibration of neural networks for histological slide-level classification","created":"2023-12-15","cited_by_count":0,"area":null},{"id":"2411.15060","title":"Hallucination Detection in Virtually-Stained Histology: A Latent Space Baseline","created":"2024-11-22","cited_by_count":0,"area":null},{"id":"2605.01295","title":"Autonomous Drift Learning in Data Streams: A Unified Perspective","created":"2026-05-02","cited_by_count":0,"area":null}],"next_cursor":null}