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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

Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding ACL 2023
Do Large Language Models Know What They Don’t Know? ACL 2023
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus EMNLP 2023
Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4 EMNLP 2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023
Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation CVPR 2023
Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares CVPR 2023
Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization CVPR 2023
RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data EMNLP 2023
Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023
Uncertainty Guided Global Memory Improves Multi-Hop Question Answering EMNLP 2023
Selectively Answering Ambiguous Questions EMNLP 2023
Representing and Computing Uncertainty in Phonological Reconstruction EMNLP 2023
Revisiting Rotation Averaging: Uncertainties and Robust Losses CVPR 2023
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023
Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization CVPR 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation CVPR 2023
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NIPS 2023
Equal Opportunity of Coverage in Fair Regression NIPS 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression NIPS 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics NIPS 2023
Contextual Gaussian Process Bandits with Neural Networks NIPS 2023