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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought ACL 2025
Uncertainty-Based Data-Wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification WACV 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach WACV 2025
CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation WACV 2025
Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025
An Automatic Method to Estimate Correctness of RAG COLING 2025
ForgDiffuser: General Image Forgery Localization with Diffusion Models IJCAI 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025
Predicting Median, Disagreement and Noise Label in Ordinal Word-in-Context Data COLING 2025
Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks NAACL 2025
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025
Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction ICCV 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention ICCV 2025
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection ICCV 2025
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025
How To Make Your Cell Tracker Say "I dunno!" ICCV 2025
Extending Temperature Scaling with Homogenizing Maps JMLR 2025
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation WACV 2025
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction AAAI 2025
CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction AAAI 2025