uncertainty quantification

1365 papers

Explore in graph

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

Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024

Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024

SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models EACL 2024

Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration EMNLP 2024

Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NIPS 2024

Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models SEMEVAL 2024

Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts EMNLP 2024

Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024

Typicalness-Aware Learning for Failure Detection NIPS 2024

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

Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting AISTATS 2024

LUQ: Long-text Uncertainty Quantification for LLMs EMNLP 2024

Confident Feature Ranking AISTATS 2024

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities NIPS 2024

Autonomous Navigation, Mapping and Exploration with Gaussian Processes RSS 2023

Sparse Deep Learning for Time Series Data: Theory and Applications NIPS 2023

Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NIPS 2023

ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images AISTATS 2023

Probabilistic Conformal Prediction Using Conditional Random Samples AISTATS 2023

Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. NIPS 2023

Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023

Guided Deep Kernel Learning UAI 2023

Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth Completion WACV 2023

Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression NIPS 2023

MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability NIPS 2023