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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

QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis ACL 2026
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach AAAI 2026
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026
TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation MIDL 2026
Performance of Conformal Prediction in Capturing Aleatoric Uncertainty WACV 2026
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models AAAI 2026
Credal Concept Bottleneck Models for Epistemic–Aleatoric Uncertainty Decomposition ACL 2026
Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026
Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation WACV 2025
The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025
Uncertainty-Aware Regularization for Image-to-Image Translation WACV 2025
Improving Uncertainty Estimation with Confidence-Aware Training Data WACV 2025
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis IJCAI 2025
Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition ACL 2025
Uncertainty in Causality: A New Frontier ACL 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach CVPR 2025
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection ICCV 2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation CVPR 2025
Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025
Beyond Human Judgment: A Bayesian Evaluation of LLMs’ Moral Values Understanding EMNLP 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding WACV 2025
Uncertainty Aware Interest Point Detection and Description WACV 2025
Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025