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uncertainty quantification

1365 papers

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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

Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification AAAI 2020
Temporal Logics Over Finite Traces with Uncertainty AAAI 2020
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization AAAI 2020
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues AAAI 2020
Justification-Based Reliability in Machine Learning AAAI 2020
Correcting Predictions for Approximate Bayesian Inference AAAI 2020
Crowd Counting with Decomposed Uncertainty AAAI 2020
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula NIPS 2020
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification NIPS 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification NIPS 2020
Improving model calibration with accuracy versus uncertainty optimization NIPS 2020
Calibrated Reliable Regression using Maximum Mean Discrepancy NIPS 2020
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights NIPS 2020
Prior Guided Dropout for Robust Visual Localization in Dynamic Environments ICCV 2019
Refining Coarse-Grained Spatial Data Using Auxiliary Spatial Data Sets with Various Granularities AAAI 2019
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data MIDL 2019
An asymptotic analysis of distributed nonparametric methods JMLR 2019
Statistical Guarantees for the Robustness of Bayesian Neural Networks IJCAI 2019
Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera CVPR 2019
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining CVPR 2019
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters NIPS 2019
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition CVPR 2019
Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019
Towards Reliable Learning for High Stakes Applications AAAI 2019
Simultaneous Prediction Intervals for Patient-Specific Survival Curves IJCAI 2019