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Uncertainty Quantification
663 directly classified papers
Papers per year
2004: 1
2006: 1
2007: 1
2012: 2
2013: 4
2014: 7
2015: 1
2016: 1
2017: 5
2018: 13
2019: 27
2020: 63
2021: 50
2022: 88
2023: 109
2024: 143
2025: 144
2026: 3
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
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