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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026
MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation WACV 2026
MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction WACV 2026
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025
Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks NAACL 2025
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models NAACL 2025
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction WACV 2025
CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation WACV 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025
Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025
Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models NAACL 2025
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought ACL 2025
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025
Extending Temperature Scaling with Homogenizing Maps JMLR 2025
Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 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
DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection WACV 2025
GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation WACV 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach WACV 2025
An Automatic Method to Estimate Correctness of RAG COLING 2025
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models EMNLP 2025
Predicting Median, Disagreement and Noise Label in Ordinal Word-in-Context Data COLING 2025
ForgDiffuser: General Image Forgery Localization with Diffusion Models IJCAI 2025