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

S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NIPS 2024

Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models EACL 2024

Consistent Joint Decision-Making with Heterogeneous Learning Models EACL 2024

Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation EACL 2024

Taming False Positives in Out-of-Distribution Detection with Human Feedback AISTATS 2024

Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024

Probabilistic size-and-shape functional mixed models NIPS 2024

Linguistic Obfuscation Attacks and Large Language Model Uncertainty EACL 2024

Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024

Non-Exchangeable Conformal Language Generation with Nearest Neighbors EACL 2024

HonestLLM: Toward an Honest and Helpful Large Language Model NIPS 2024

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution AAAI 2024

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024

Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception CVPR 2024

Typicalness-Aware Learning for Failure Detection NIPS 2024

Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024

Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024

Neural Visibility Field for Uncertainty-Driven Active Mapping CVPR 2024

Trusted Multi-view Learning with Label Noise IJCAI 2024

Uncertainty Visualization via Low-Dimensional Posterior Projections CVPR 2024

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields CVPR 2024

Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results AISTATS 2024

Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NIPS 2024

Characterizing LLM Abstention Behavior in Science QA with Context Perturbations EMNLP 2024

Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024