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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

Compact Representation of Uncertainty in Clustering NIPS 2018
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018
Learning under Misspecified Objective Spaces CORL 2018
Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures ACL 2018
A Bayes-Sard Cubature Method NIPS 2018
Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam ICML 2018
Gaussian Process Neural Networks for Speech Recognition INTERSPEECH 2018
Implicit Probabilistic Integrators for ODEs NIPS 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images NIPS 2018
Evidential Deep Learning to Quantify Classification Uncertainty NIPS 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data NIPS 2018
Analyzing Uncertainty in Neural Machine Translation ICML 2018
Handling Uncertainty in Recommender Systems under the Belief Function Theory IJCAI 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression ICML 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NIPS 2017
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning CORL 2017
Experience-driven Predictive Control with Robust Constraint Satisfaction under Time-Varying State Uncertainty RSS 2017
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference ICML 2017
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning IJCAI 2017
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NIPS 2017
Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations RSS 2017
Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017
Efficient Algorithms And Representations For Chance-constrained Mixed Constraint Programming IJCAI 2017