uncertainty quantification

Uncertainty Quantification for Bayesian Optimization AISTATS 2022 Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise AISTATS 2022 Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis EMNLP 2022 Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022 UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification NeurIPS 2022 UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs NeurIPS 2022 What Makes Graph Neural Networks Miscalibrated? NeurIPS 2022 Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NeurIPS 2022 A Bit More Bayesian: Domain-Invariant Learning with Uncertainty ICML 2021 A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation AAAI 2021 Activation-level uncertainty in deep neural networks ICLR 2021 Active Bayesian Assessment of Black-Box Classifiers AAAI 2021 Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation With an Application to Psoriatic Arthritis Radiographs WACV 2021 Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021 Active Learning with Maximum Margin Sparse Gaussian Processes AISTATS 2021 A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction MLHC 2021 A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction ICCV 2021 A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging MIDL 2021 An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NeurIPS 2021 An Uncertainty-Aware Encoder for Aspect Detection EMNLP 2021 Asymptotic Normality, Concentration, and Coverage of Generalized Posteriors JMLR 2021 A Unified Framework for Random Forest Prediction Error Estimation JMLR 2021 Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021 Bayesian Bellman Operators NeurIPS 2021 Bayesian Deep Graph Matching for Correspondence Identification in Collaborative Perception RSS 2021