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

Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024

Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024

Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024

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

Density Uncertainty Layers for Reliable Uncertainty Estimation AISTATS 2024

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction CVPR 2024

Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors AISTATS 2024

Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024

Rejection via Learning Density Ratios NIPS 2024

A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024

Bayesian Exploration of Pre-trained Models for Low-shot Image Classification CVPR 2024

Data-driven simulator for mechanical circulatory support with domain adversarial neural process L4DC 2024

Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024

Split Conformal Prediction and Non-Exchangeable Data JMLR 2024

Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024

Uncertainty quantification and robustification of model-based controllers using conformal prediction L4DC 2024

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

Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner EMNLP 2024

API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access EMNLP 2024

Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024

Label Noise Robustness of Conformal Prediction JMLR 2024

Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024

MultiOrg: A Multi-rater Organoid-detection Dataset NIPS 2024

Reference-free Hallucination Detection for Large Vision-Language Models EMNLP 2024