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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

Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics JMLR 2023
Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors JMLR 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression NIPS 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics NIPS 2023
Optimal Strategies for Reject Option Classifiers JMLR 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NIPS 2023
Bayesian Spiked Laplacian Graphs JMLR 2023
AirFormer: Predicting Nationwide Air Quality in China with Transformers AAAI 2023
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model AAAI 2023
The Unreasonable Effectiveness of Deep Evidential Regression AAAI 2023
Class-Conditional Conformal Prediction with Many Classes NIPS 2023
Inverse-Reference Priors for Fisher Regularization of Bayesian Neural Networks AAAI 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023
Equal Opportunity of Coverage in Fair Regression NIPS 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023
Contextual Gaussian Process Bandits with Neural Networks NIPS 2023
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression NIPS 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons CVPR 2023
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA ACL 2023
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023
Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification INTERSPEECH 2023
Statistical Inference for Noisy Incomplete Binary Matrix JMLR 2023
Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023