{"total":14,"rows":[{"id":"2402.00809","title":"Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI","created":"2024-02-01","cited_by_count":62,"area":null},{"id":"2410.06494","title":"Conformal Prediction: A Data Perspective","created":"2024-10-09","cited_by_count":25,"area":null},{"id":"2407.21424","title":"Cost-Effective Hallucination Detection for LLMs","created":"2024-07-31","cited_by_count":18,"area":null},{"id":"2307.03810","title":"URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates","created":"2023-07-07","cited_by_count":17,"area":null},{"id":"2406.00104","title":"Scalable Bayesian Learning with posteriors","created":"2024-05-31","cited_by_count":13,"area":null},{"id":"2410.19780","title":"Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics","created":"2024-10-14","cited_by_count":13,"area":null},{"id":"2402.12683","title":"TorchCP: A Python Library for Conformal Prediction","created":"2024-02-20","cited_by_count":9,"area":null},{"id":"2501.06878","title":"Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach","created":"2025-01-12","cited_by_count":6,"area":null},{"id":"2511.10282","title":"Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification","created":"2025-11-13","cited_by_count":4,"area":null},{"id":"2410.03390","title":"Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning","created":"2024-10-04","cited_by_count":3,"area":null},{"id":"2401.13206","title":"Self-Improving Interference Management Based on Deep Learning With Uncertainty Quantification","created":"2024-01-24","cited_by_count":1,"area":null},{"id":"2602.02582","title":"Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems","created":"2026-01-31","cited_by_count":1,"area":null},{"id":"2402.06268","title":"YAMLE: Yet Another Machine Learning Environment","created":"2024-02-09","cited_by_count":0,"area":null},{"id":"2607.21623","title":"Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees","created":"2026-07-04","cited_by_count":0,"area":null}],"next_cursor":null}