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

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

Uncertainty Aware Interest Point Detection and Description WACV 2025

Things Machine Learning Models Know That They Don’t Know AAAI 2025

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

General Uncertainty Estimation with Delta Variances AAAI 2025

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

UOREX: Towards Uncertainty-Aware Open Relation Extraction NAACL 2025

Improving Uncertainty Estimation with Confidence-Aware Training Data WACV 2025

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024

Energy-based Epistemic Uncertainty for Graph Neural Networks NIPS 2024

Credal Deep Ensembles for Uncertainty Quantification NIPS 2024

Optimization Under Epistemic Uncertainty Using Prediction IJCAI 2024

Fixing Overconfidence in Dynamic Neural Networks WACV 2024

To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NIPS 2024

Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024

NeoRL: Efficient Exploration for Nonepisodic RL NIPS 2024

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024

Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024

Value-Distributional Model-Based Reinforcement Learning JMLR 2024

Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024

Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024

One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024

Active preference learning for ordering items in- and out-of-sample NIPS 2024

Dynamic Knowledge Injection for AIXI Agents AAAI 2024

SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models EACL 2024