Co-occurring keywords · papers mentioning both
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