uncertainty quantification

1365 papers

Explore in graph

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

Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment EACL 2026

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

Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026

Argument-Based Consistency in Toxicity Explanations of LLMs EACL 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

Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning WACV 2026

MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026

Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models EACL 2026

The Art of Saying "Maybe": A Conformal Lens for Uncertainty Benchmarking in VLMs EACL 2026

MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026

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

FAMDR: Feature-Aligned Multimodal Denoising for Reliable Diagnostic Reconciliation in Medical Imaging AAAI 2026

De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning 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

Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data AAAI 2026