Uncertainty Quantification
246 papers
Papers per year
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27
58
133
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Papers
Adaptive Confidence Regularization for Multimodal Failure Detection
CVPR 2026
Adaptive Cumulative Mass Calibration with Conformal Prediction
UAI 2026
ADVICE: Answer-Dependent Verbalized Confidence Estimation
ACL 2026
AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text Generation
ACL 2026
Analytic Planning under Uncertainty with Moment Closure
UAI 2026
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
UAI 2026
APIC: Amortized Physics-Informed Calibration using Neural Processes
UAI 2026
A Polynomial Chaos Framework for Causal Discovery in Nonlinear Uncertain Systems
CVPR 2026
BaseCal: Unsupervised Confidence Calibration via Base Model Signals
ACL 2026
Better than Average: Spatially-Aware Aggregation of Segmentation Uncertainty Improves Downstream Performance
CVPR 2026
Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter
CVPR 2026
Beyond "I Don’t Know": Evaluating LLM Self-Awareness in Discriminating Data and Model Uncertainty
ACL 2026
Boosting Visual Reprogramming for CLIP with Dual Granularity Alignment
CVPR 2026
Breaking Spurious Correlations: Uncertainty-Driven Causal Transformers for AU Detection
CVPR 2026
Calibrated? Not for Everyone: How Sexual Orientation and Religious Markers Distort LLM Accuracy and Confidence in Medical QA
ACL 2026
Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation
ACL 2026
Can You Trust Your Model? Constructing Uncertainty Approximations Guaranteeing Validity of Glioma Segmentation Explanations
MIDL 2026
CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
MIDL 2026
CEBC: Conformal Evidence-Bounded Control for Low-Hallucination Vision–Language Generation
ACL 2026
CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images
MIDL 2026
CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
L4DC 2026
Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data
CLeaR 2026
Conformal Graph Prediction with Z-Gromov Wasserstein Distances
UAI 2026
Conformal LLM Routing with Distribution-Free Safety Guarantees
ACL 2026
Conformal Prediction Sets for Instance Segmentation
UAI 2026