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

Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control AAAI 2023

Test Time Augmentation Meets Post-hoc Calibration: Uncertainty Quantification under Real-World Conditions AAAI 2023

Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023

A Close Look into the Calibration of Pre-trained Language Models ACL 2023

Semiparametric Inference Using Fractional Posteriors JMLR 2023

Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling AAAI 2023

Bayesian Optimization-Based Combinatorial Assignment AAAI 2023

Evidential Conditional Neural Processes AAAI 2023

Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023

What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction NIPS 2023

Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval NIPS 2023

Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023

Uncertainty Quantification via Neural Posterior Principal Components NIPS 2023

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval NIPS 2023

Cal-DETR: Calibrated Detection Transformer NIPS 2023

URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates NIPS 2023

T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing NIPS 2023

Nearest Neighbor Dirichlet Mixtures JMLR 2023

Conformal Prediction for Time Series with Modern Hopfield Networks NIPS 2023

GAUCHE: A Library for Gaussian Processes in Chemistry NIPS 2023

Ambiguous Medical Image Segmentation Using Diffusion Models CVPR 2023

Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023

Flexible Model Aggregation for Quantile Regression JMLR 2023