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uncertainty quantification

1365 papers

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Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
Active, anytime-valid risk controlling prediction sets NIPS 2024
Verification of neural reachable tubes via scenario optimization and conformal prediction L4DC 2024
Data-driven simulator for mechanical circulatory support with domain adversarial neural process L4DC 2024
Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NIPS 2024
Trusted Multi-view Learning with Label Noise IJCAI 2024
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NIPS 2024
UQ-Guided Hyperparameter Optimization for Iterative Learners NIPS 2024
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NIPS 2024
Label Noise Robustness of Conformal Prediction JMLR 2024
Uncertainty-Guided Never-Ending Learning to Drive CVPR 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NIPS 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception CVPR 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024
Verifiably Robust Conformal Prediction NIPS 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models NIPS 2024
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NIPS 2024
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024
Boosted Conformal Prediction Intervals NIPS 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024