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Uncertainty Quantification

32 directly classified papers

Papers per year

Papers

Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models AAAI 2025
EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling CVPR 2025
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation AAAI 2025
Similarity-Navigated Conformal Prediction for Graph Neural Networks NIPS 2024
Evidential Uncertainty-Guided Mitochondria Segmentation for 3D EM Images AAAI 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation CVPR 2024
Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration AAAI 2024
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NIPS 2023
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus EMNLP 2023
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty EMNLP 2023
Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning CVPR 2023
Contour-Hugging Heatmaps for Landmark Detection CVPR 2022
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022
Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022
Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization WACV 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation NIPS 2022
Masksembles for Uncertainty Estimation CVPR 2021
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood CVPR 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NIPS 2020
Improving model calibration with accuracy versus uncertainty optimization NIPS 2020
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data CVPR 2020