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uncertainty quantification

1365 papers

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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

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
Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation NIPS 2024
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity NIPS 2024
Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NIPS 2024
Uncertainty Visualization via Low-Dimensional Posterior Projections CVPR 2024
Kermut: Composite kernel regression for protein variant effects NIPS 2024
Neural Visibility Field for Uncertainty-Driven Active Mapping CVPR 2024
Benchmarking Out-of-Distribution Detection in Visual Question Answering WACV 2024
Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024
Fast Fourier Bayesian Quadrature AISTATS 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024
Unsupervised Event-Based Video Reconstruction WACV 2024
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields CVPR 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024
Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token NIPS 2024