{"total":87,"rows":[{"id":"2402.19460","title":"Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks","created":"2024-02-29","cited_by_count":78,"area":null},{"id":"2402.03478","title":"Estimating Epistemic and Aleatoric Uncertainty with a Single Model","created":"2024-02-05","cited_by_count":54,"area":"diffusion"},{"id":"2207.06214","title":"Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation","created":"2022-07-13","cited_by_count":43,"area":null},{"id":"2412.20892","title":"Rethinking Aleatoric and Epistemic Uncertainty","created":"2024-12-30","cited_by_count":42,"area":null},{"id":"2505.22655","title":"Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents","created":"2025-05-28","cited_by_count":32,"area":"agents"},{"id":"2408.06816","title":"MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty","created":"2024-08-13","cited_by_count":27,"area":null},{"id":"2505.18893","title":"Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects","created":"2025-05-24","cited_by_count":19,"area":null},{"id":"2306.11180","title":"Hyperbolic Active Learning for Semantic Segmentation under Domain Shift","created":"2023-06-19","cited_by_count":18,"area":null},{"id":"2410.10786","title":"On Information-Theoretic Measures of Predictive Uncertainty","created":"2024-10-14","cited_by_count":16,"area":null},{"id":"2504.10559","title":"Efficient Process Reward Model Training via Active Learning","created":"2025-04-14","cited_by_count":16,"area":"lr"},{"id":"2211.02235","title":"Materials Property Prediction with Uncertainty Quantification: A Benchmark Study","created":"2022-11-04","cited_by_count":15,"area":null},{"id":"2402.07594","title":"Zero-shot Imputation with Foundation Inference Models for Dynamical Systems","created":"2024-02-12","cited_by_count":13,"area":null},{"id":"2503.03178","title":"Active operator learning with predictive uncertainty quantification for partial differential equations","created":"2025-03-05","cited_by_count":12,"area":null},{"id":"2312.10469","title":"One step closer to unbiased aleatoric uncertainty estimation","created":"2023-12-16","cited_by_count":10,"area":null},{"id":"2402.16569","title":"Pretrained Visual Uncertainties","created":"2024-02-26","cited_by_count":10,"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":"2505.23506","title":"Position: Epistemic uncertainty estimation methods are fundamentally incomplete","created":"2025-05-29","cited_by_count":9,"area":null},{"id":"2303.01099","title":"Multi-Head Multi-Loss Model Calibration","created":"2023-03-02","cited_by_count":8,"area":null},{"id":"2308.00799","title":"Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction","created":"2023-08-01","cited_by_count":8,"area":null},{"id":"2411.03561","title":"Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data","created":"2024-11-05","cited_by_count":8,"area":"diffusion"},{"id":"2312.09454","title":"Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review","created":"2023-11-15","cited_by_count":7,"area":null},{"id":"2411.16370","title":"A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation","created":"2024-11-25","cited_by_count":6,"area":null},{"id":"2507.08150","title":"CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk","created":"2025-07-10","cited_by_count":6,"area":null},{"id":"2403.17224","title":"Uncertainty Quantification for Gradient-based Explanations in Neural Networks","created":"2024-03-25","cited_by_count":5,"area":null},{"id":"2406.09864","title":"LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data","created":"2024-06-14","cited_by_count":5,"area":null},{"id":"2505.21003","title":"Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?","created":"2025-05-27","cited_by_count":5,"area":null},{"id":"2509.26610","title":"Uncertainty Quantification for Regression using Proper Scoring Rules","created":"2025-09-30","cited_by_count":5,"area":null},{"id":"2306.07235","title":"Deep Gaussian Mixture Ensembles","created":"2023-06-12","cited_by_count":4,"area":null},{"id":"2402.10686","title":"On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks","created":"2024-02-16","cited_by_count":4,"area":"safety"},{"id":"2404.14642","title":"Uncertainty Quantification on Graph Learning: A Survey","created":"2024-04-23","cited_by_count":4,"area":null},{"id":"2408.12175","title":"Measuring Orthogonality as the Blind-Spot of Uncertainty Disentanglement","created":"2024-08-22","cited_by_count":4,"area":null},{"id":"2305.16620","title":"Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty","created":"2023-05-26","cited_by_count":3,"area":null},{"id":"2403.09228","title":"Uncertainty Quantification for cross-subject Motor Imagery classification","created":"2024-03-14","cited_by_count":3,"area":null},{"id":"2406.18787","title":"Unified Uncertainties: Combining Input, Data and Model Uncertainty into a Single Formulation","created":"2024-06-26","cited_by_count":3,"area":null},{"id":"2412.10570","title":"Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks","created":"2024-12-13","cited_by_count":3,"area":null},{"id":"2503.14106","title":"Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction","created":"2025-03-18","cited_by_count":3,"area":null},{"id":"2505.11412","title":"Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks","created":"2025-05-16","cited_by_count":3,"area":null},{"id":"2505.14572","title":"Automated Fetal Biometry Assessment with Deep Ensembles using Sparse-Sampling of 2D Intrapartum Ultrasound Images","created":"2025-05-20","cited_by_count":3,"area":null},{"id":"2508.19906","title":"Streamlining the Development of Active Learning Methods in Real-World Object Detection","created":"2025-08-27","cited_by_count":3,"area":null},{"id":"2510.05054","title":"HybridFlow: Quantification of Aleatoric and Epistemic Uncertainty with a Single Hybrid Model","created":"2025-10-06","cited_by_count":3,"area":null},{"id":"2603.08128","title":"TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception -- Don't Treat All Uncertainty the Same","created":"2026-03-09","cited_by_count":3,"area":null},{"id":"2605.11987","title":"Random-Set Graph Neural Networks","created":"2026-05-12","cited_by_count":3,"area":null},{"id":"2210.10964","title":"Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning","created":"2022-10-20","cited_by_count":2,"area":null},{"id":"2210.16938","title":"A view on model misspecification in uncertainty quantification","created":"2022-10-30","cited_by_count":2,"area":null},{"id":"2212.05987","title":"Selective classification using a robust meta-learning approach","created":"2022-12-12","cited_by_count":2,"area":null},{"id":"2404.17126","title":"Deep Evidential Learning for Radiotherapy Dose Prediction","created":"2024-04-26","cited_by_count":2,"area":null},{"id":"2408.11249","title":"The Dilemma of Uncertainty Estimation for General Purpose AI in the EU AI Act","created":"2024-08-20","cited_by_count":2,"area":null},{"id":"2510.25599","title":"Uncertainty Quantification for Regression: A Unified Framework based on kernel scores","created":"2025-10-29","cited_by_count":2,"area":null},{"id":"2512.02722","title":"Credal Graph Neural Networks","created":"2025-12-02","cited_by_count":2,"area":null},{"id":"2605.31204","title":"Probabilistic Precipitation Nowcasting with Rectified Flow Transformers","created":"2026-05-29","cited_by_count":2,"area":"diffusion"},{"id":"2309.14780","title":"Transferring climate change physical knowledge","created":"2023-09-26","cited_by_count":1,"area":null},{"id":"2404.11230","title":"Energy-Efficient Uncertainty-Aware Biomass Composition Prediction at the Edge","created":"2024-04-17","cited_by_count":1,"area":null},{"id":"2407.14845","title":"Prompting the Unknown: Understanding Response Uncertainty in Large Language Models","created":"2024-07-20","cited_by_count":1,"area":null},{"id":"2409.03556","title":"MaskVal: Simple but Effective Uncertainty Quantification for 6D Pose Estimation","created":"2024-09-05","cited_by_count":1,"area":null},{"id":"2501.08285","title":"Can Bayesian Neural Networks Explicitly Model Input Uncertainty?","created":"2025-01-14","cited_by_count":1,"area":null},{"id":"2502.20532","title":"Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging","created":"2025-02-27","cited_by_count":1,"area":null},{"id":"2504.04583","title":"Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty","created":"2025-04-06","cited_by_count":1,"area":null},{"id":"2505.02743","title":"Cooperative Variance Estimation and Bayesian Neural Networks for Disentangling Aleatoric and Epistemic Uncertainties","created":"2025-05-05","cited_by_count":1,"area":null},{"id":"2508.02566","title":"Model-Agnostic Dynamic Feature Selection with Uncertainty Quantification","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2510.21691","title":"On Uncertainty Calibration for Equivariant Functions","created":"2025-10-24","cited_by_count":1,"area":null},{"id":"2511.00301","title":"A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis","created":"2025-10-31","cited_by_count":1,"area":null},{"id":"2607.15196","title":"Subjective Risk Decomposition: A New View for Uncertainty Quantification","created":"2026-07-16","cited_by_count":1,"area":null},{"id":"2608.05995","title":"A Ground-Truth Framework for Uncertainty Disentanglement with Posterior Risk","created":"2026-08-06","cited_by_count":1,"area":null},{"id":"2301.07087","title":"MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module","created":"2023-01-17","cited_by_count":0,"area":null},{"id":"2408.02295","title":"Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning","created":"2024-08-05","cited_by_count":0,"area":"deeprl"},{"id":"2409.03543","title":"Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift","created":"2024-09-05","cited_by_count":0,"area":null},{"id":"2411.12127","title":"Fine-Grained Uncertainty Quantification via Collisions","created":"2024-11-18","cited_by_count":0,"area":null},{"id":"2412.07686","title":"Optimizing Sensor Redundancy in Sequential Decision-Making Problems","created":"2024-12-10","cited_by_count":0,"area":"deeprl"},{"id":"2412.14640","title":"Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning","created":"2024-12-19","cited_by_count":0,"area":null},{"id":"2504.04814","title":"Explaining Uncertainty in Multiple Sclerosis Cortical Lesion Segmentation Beyond Prediction Errors","created":"2025-04-07","cited_by_count":0,"area":null},{"id":"2506.12440","title":"Style-based Composer Identification and Attribution of Symbolic Music Scores: a Systematic Survey","created":"2025-06-14","cited_by_count":0,"area":null},{"id":"2509.13262","title":"Post-Hoc Split-Point Self-Consistency Verification for Efficient, Unified Quantification of Aleatoric and Epistemic Uncertainty in Deep Learning","created":"2025-09-16","cited_by_count":0,"area":"lr"},{"id":"2509.21514","title":"Knowing When to Defer: Selective Prediction for Responsible Knowledge Tracing","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2511.06538","title":"Bayesian Uncertainty Quantification with Anchored Ensembles for Robust EV Power Consumption Prediction","created":"2025-11-09","cited_by_count":0,"area":null},{"id":"2601.01677","title":"Trustworthy Data-Driven Wildfire Risk Prediction and Understanding in Western Canada","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2602.22717","title":"IRSDE-Despeckle: A Physics-Grounded Diffusion Model for Generalizable Ultrasound Despeckling","created":"2026-02-26","cited_by_count":0,"area":"diffusion"},{"id":"2603.14074","title":"Self-Supervised Uncertainty Estimation For Super-Resolution of Satellite Images","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2604.08639","title":"VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2605.04231","title":"Anatomy of a failure: When, how, and why deep vision fails in scientific domains","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.14917","title":"A Mutual Information Lower Bound for Multimodal Regression Active Learning","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2605.22390","title":"A Posterior-Predictive Variance Decomposition for Epistemic and Aleatoric Uncertainty in Wind Power Forecasting","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2605.25004","title":"Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data","created":"2026-05-24","cited_by_count":0,"area":null},{"id":"2606.19569","title":"On the QUEST for Uncertainty Quantification via Highest Density Regions","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2607.25736","title":"Image Quality Dependent Degradation for AI Systems","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2608.24518","title":"It depends: Incorporating correlations for joint aleatoric and epistemic uncertainties of high-dimensional output spaces","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2608.30795","title":"Uncertainty-Aware End-to-End AI Weather Forecasting: Disentangling Observation and Model Contributions","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.29959","title":"Not All Confusion Is Equal: A Source-Aware Uncertainty Diagnosis for Fine-Grained Aircraft Detection","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}