aleatoric uncertainty

Distribution-Free Data Uncertainty for Neural Network Regression ICLR 2025 Evidential Uncertainty Probes for Graph Neural Networks AISTATS 2025 From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation ICLR 2025 Fully Heteroscedastic Count Regression with Deep Double Poisson Networks ICML 2025 HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation AAAI 2025 Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025 Improving Uncertainty Estimation through Semantically Diverse Language Generation ICLR 2025 Improving Uncertainty Estimation with Confidence-Aware Training Data WACV 2025 Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition ACL 2025 On Rollouts in Model-Based Reinforcement Learning ICLR 2025 Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents ICML 2025 Provable Uncertainty Decomposition via Higher-Order Calibration ICLR 2025 Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach CVPR 2025 The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025 The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models EMNLP 2025 Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation CVPR 2025 UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model ICML 2025 Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025 Uncertainty Aware Interest Point Detection and Description WACV 2025 Uncertainty-Aware Regularization for Image-to-Image Translation WACV 2025 Uncertainty-Aware Scene Understanding via Efficient Sampling-Free Confidence Estimation CoRL 2025 Uncertainty in Causality: A New Frontier ACL 2025 Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations ICLR 2025 Active preference learning for ordering items in- and out-of-sample NeurIPS 2024 Bayesian Exploration Networks ICML 2024