Uncertainty Quantification

Epistemic Uncertainty Quantification For Pre-Trained Neural Networks CVPR 2024 Equivariant bootstrapping for uncertainty quantification in imaging inverse problems AISTATS 2024 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024 Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024 Faster Recalibration of an Online Predictor via Approachability AISTATS 2024 Fixing Overconfidence in Dynamic Neural Networks WACV 2024 From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024 Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024 GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NeurIPS 2024 Generalized Fast Exact Conformalization NeurIPS 2024 Graph-based Uncertainty Metrics for Long-form Language Model Generations NeurIPS 2024 Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing COLING 2024 How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling? EACL 2024 Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NeurIPS 2024 Identifying Homogeneous and Interpretable Groups for Conformal Prediction UAI 2024 Improving GNN Calibration with Discriminative Ability: Insights and Strategies AAAI 2024 Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning ACL 2024 Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models NeurIPS 2024 Interpretability Guarantees with Merlin-Arthur Classifiers AISTATS 2024 Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity NeurIPS 2024 Investigating Confidence Estimation Measures for Speaker Diarization Interspeech 2024 Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024