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aleatoric uncertainty

109 papers

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AU

Co-occurring keywords

epistemic uncertainty (160) uncertainty quantification (1393) uncertainty estimation (648) neural network (6616) out-of-distribution detection (617) semantic segmentation (3186) large language model (13587) diffusion model (3751) bayesian neural network (201) variational inference (2069)

Papers

The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis IJCAI 2025
Fixing Overconfidence in Dynamic Neural Networks WACV 2024
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NIPS 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NIPS 2024
Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024
Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024
Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024
Evidential Uncertainty Quantification: A Variance-Based Perspective WACV 2024
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner NIPS 2024
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks AAAI 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024
Conformalized Credal Set Predictors NIPS 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024
Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion CVPR 2024
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models EACL 2024
Active preference learning for ordering items in- and out-of-sample NIPS 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks NIPS 2024
Estimating Epistemic and Aleatoric Uncertainty with a Single Model NIPS 2024
dugMatting: Decomposed-Uncertainty-Guided Matting ICML 2023
Risk Bounds on Aleatoric Uncertainty Recovery AISTATS 2023
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning NIPS 2023
Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty AISTATS 2023
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? UAI 2023