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uncertainty quantification

1,649 papers

UQ

Papers

Deep Neural Networks as Point Estimates for Deep Gaussian Processes NeurIPS 2021 Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021 Deep Recurrent Belief Propagation Network for POMDPs AAAI 2021 Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing EMNLP 2021 Diagnostics for conditional density models and Bayesian inference algorithms UAI 2021 Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion IJCAI 2021 Distribution-free uncertainty quantification for classification under label shift UAI 2021 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission ICLR 2021 Energy-Based Open-World Uncertainty Modeling for Confidence Calibration ICCV 2021 Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation ICCV 2021 Event and Entity Coreference using Trees to Encode Uncertainty in Joint Decisions EMNLP 2021 Fairness in Ranking under Uncertainty NeurIPS 2021 Forecasting Reservoir Inflow via Recurrent Neural ODEs AAAI 2021 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021 Future Moment Assessment for Action Query WACV 2021 GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning AAAI 2021 Gaussian process nowcasting: application to COVID-19 mortality reporting UAI 2021 Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification NeurIPS 2021 Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation From Images in the Wild ICCV 2021 Identifying regions of trusted predictions UAI 2021 Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold ICML 2021 Improving Classifier Confidence using Lossy Label-Invariant Transformations AISTATS 2021 Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations WACV 2021 Is Pessimism Provably Efficient for Offline RL? ICML 2021 Joint Inference for Neural Network Depth and Dropout Regularization NeurIPS 2021