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Uncertainty Quantification

13 directly classified papers

Papers per year

Papers

MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds EMNLP 2025

Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation ICCV 2025

Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025

Conformal Prediction for Partial Label Learning AAAI 2025

Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions RSS 2024

SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024

Quantification of Uncertainty with Adversarial Models NIPS 2023

NPCL: Neural Processes for Uncertainty-Aware Continual Learning NIPS 2023

Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022

Towards Improving Calibration in Object Detection Under Domain Shift NIPS 2022

Trusted Multi-View Deep Learning with Opinion Aggregation AAAI 2022

Human Uncertainty Inference via Deterministic Ensemble Neural Networks AAAI 2021