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

Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NIPS 2024

Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024

Unsupervised Event-Based Video Reconstruction WACV 2024

Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering CVPR 2024

Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NIPS 2024

Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution AAAI 2024

Decentralized Multi-Robot Line-of-Sight Connectivity Maintenance under Uncertainty RSS 2024

A Survey of Confidence Estimation and Calibration in Large Language Models NAACL 2024

Scalable Meta-Learning with Gaussian Processes AISTATS 2024

CERET: Cost-Effective Extrinsic Refinement for Text Generation NAACL 2024

Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NIPS 2024

Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NIPS 2024

Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NIPS 2024

Uncertainty-Aware Mean Opinion Score Prediction INTERSPEECH 2024

Neural Conditional Probability for Uncertainty Quantification NIPS 2024

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024

Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024

Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? EMNLP 2024

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024

Two fundamental limits for uncertainty quantification in predictive inference COLT 2024

LUQ: Long-text Uncertainty Quantification for LLMs EMNLP 2024

QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024