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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
How To Make Your Cell Tracker Say "I dunno!"
ICCV 2025
FLUE: Streamlined Uncertainty Estimation for Large Language Models
AAAI 2025
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection
ICCV 2025
ViLU: Learning Vision-Language Uncertainties for Failure Prediction
ICCV 2025
Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification
AAAI 2025
Uncertainty Propagation on LLM Agent
ACL 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
ICCV 2025
LoGU: Long-form Generation with Uncertainty Expressions
ACL 2025
Selective Uncertainty Propagation in Offline RL
AAAI 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
Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency
EMNLP 2025
Demystify Verbosity Compensation Behavior of Large Language Models
EMNLP 2025
Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition
AAAI 2025
Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods
NAACL 2025
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty
NAACL 2025
An Automatic Method to Estimate Correctness of RAG
COLING 2025
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
ACL 2025
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