uncertainty quantification

1365 papers

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Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

Minimum-Length Conformal Prediction Sets for Ordinal Classification AAAI 2026

ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model AAAI 2026

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026

Teach AI What It Doesn’t Know AAAI 2026

Toward Trustworthy AI for Decision Making in Population Health AAAI 2026

Lorentz Entailment Cone for Semantic Segmentation WACV 2026

SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026

WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields WACV 2026

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging WACV 2026

Mind the Gap: Benchmarking LLM Uncertainty and Calibration with Specialty-Aware Clinical QA and Reasoning-Based Behavioural Features EACL 2026

Evidential Semantic Entropy for LLM Uncertainty Quantification EACL 2026

Uncertainty Quantification for Evaluating Gender Bias in Machine Translation EACL 2026

Reasoning about Uncertainty: Do Reasoning Models Know When They Don’t Know? EACL 2026

Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction AAAI 2026

Scalable Vision-Guided Crop Yield Estimation AAAI 2026

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026

Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement AAAI 2026

SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning AAAI 2026

Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment AAAI 2026

Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets AAAI 2026

Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026

Online Conformal Selection with Accept-to-Reject Changes AAAI 2026

Conformal Prediction Meets Long-tail Classification AAAI 2026

Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict AAAI 2026

Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract) AAAI 2026