epistemic uncertainty

156 papers

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Also known as

EU

Co-occurring keywords

uncertainty quantification (1365) aleatoric uncertainty (105) out-of-distribution detection (611) uncertainty estimation (639) bayesian neural network (201) neural network (6616) bayesian inference (1904) reinforcement learning (4122) active learning (1295) large language model (12755)

Papers

Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026

Controllable Epistemic Sensitivity in Large Language Models: Probing, Benchmarking, and Adaptive Reasoning AAAI 2026

Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification AAAI 2026

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026

Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach AAAI 2026

Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026

Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract) AAAI 2026

Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach CVPR 2025

Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation CVPR 2025

Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval CVPR 2025

Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection ICCV 2025

GAUDA: Generative Adaptive Uncertainty-Guided Diffusion-Based Augmentation for Surgical Segmentation WACV 2025

OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS ICCV 2025

Uncertainty in Causality: A New Frontier ACL 2025

UOREX: Towards Uncertainty-Aware Open Relation Extraction NAACL 2025

Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025

Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models? ACL 2025

Epistemic Bellman Operators AAAI 2025

The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025

Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems AAAI 2025

Towards Open-Ended Discovery for Low-Resource NLP EMNLP 2025

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025

Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations AAAI 2025

DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback AAAI 2025

Uncertainty Aware Interest Point Detection and Description WACV 2025