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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
Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text
COLING 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
ICCV 2025
ForgDiffuser: General Image Forgery Localization with Diffusion Models
IJCAI 2025
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
ACL 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
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
Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory
AAAI 2025
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
ICCV 2025
UvA-MT at WMT25 Evaluation Task: LLM Uncertainty as a Proxy for Translation Quality
EMNLP 2025
CDI: Copyrighted Data Identification in Diffusion Models
CVPR 2025
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization
AAAI 2025
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation
AAAI 2025
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
AAAI 2025
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography
AAAI 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
AAAI 2025
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
AAAI 2025
Out-of-Distribution Detection with Prototypical Outlier Proxy
AAAI 2025
FLUE: Streamlined Uncertainty Estimation for Large Language Models
AAAI 2025
Self-supervised Trusted Contrastive Multi-view Clustering with Uncertainty Refined
AAAI 2025
Error bounds for any regression model using Gaussian processes with gradient information
AISTATS 2024
Density Uncertainty Layers for Reliable Uncertainty Estimation
AISTATS 2024
Probabilities of Causation with Nonbinary Treatment and Effect
AAAI 2024
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