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Uncertainty Quantification

746 papers

Papers per year

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2
68
163
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'25

Papers

CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models NAACL 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
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models NAACL 2025
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models NAACL 2025
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs NAACL 2025
DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection WACV 2025
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation WACV 2025
Uncertainty-Based Data-Wise Label Smoothing for Calibrating Multiple Instance Learning in Histopathology Image Classification WACV 2025
CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation WACV 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach WACV 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025
GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation WACV 2025
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction WACV 2025
Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025
SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation MIDL 2025
Clinical Measurements with Calibrated Instance-Dependent Confidence Interval MIDL 2025
Localized Adaptive Risk Control NIPS 2024
Typicalness-Aware Learning for Failure Detection NIPS 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NIPS 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NIPS 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NIPS 2024