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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

Certifiably Adversarially Robust Detection of Out-of-Distribution Data NIPS 2020
Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NIPS 2020
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020
Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach IJCAI 2020
Being Bayesian about Categorical Probability ICML 2020
NADS: Neural Architecture Distribution Search for Uncertainty Awareness ICML 2020
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing ICML 2020
How Good is the Bayes Posterior in Deep Neural Networks Really? ICML 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020
Uncertainty Modeling for Machine Comprehension Systems using Efficient Bayesian Neural Networks COLING 2020
Gaze Estimation for Assisted Living Environments WACV 2020
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving WACV 2020
3D semi-supervised learning with uncertainty-aware multi-view co-training WACV 2020
Uncertainty Quantification for Sparse Deep Learning AISTATS 2020
Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework UAI 2020
PoRB-Nets: Poisson Process Radial Basis Function Networks UAI 2020
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles UAI 2020
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks UAI 2020
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality MIDL 2020
Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement MIDL 2020
AdaTune: Adaptive Tensor Program Compilation Made Efficient NIPS 2020
Probabilistic Linear Solvers for Machine Learning NIPS 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020