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Uncertainty Quantification

663 directly classified papers

Papers per year

Papers

MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty NAACL 2025
Extending Temperature Scaling with Homogenizing Maps JMLR 2025
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models NAACL 2025
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought ACL 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025
ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction ICCV 2025
Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention ICCV 2025
Activation Subspaces for Out-of-Distribution Detection ICCV 2025
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection ICCV 2025
Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty? EMNLP 2025
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025
Reconsidering LLM Uncertainty Estimation Methods in the Wild ACL 2025
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory AAAI 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach WACV 2025
Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction WACV 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025
UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER EMNLP 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling AAAI 2025
Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection AAAI 2025
Uncertainty-driven Partial Diacritization for Arabic Text EMNLP 2025