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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

BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks IJCAI 2020
Knowing-How under Uncertainty (Extended Abstract) IJCAI 2020
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020
Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Enriched mixtures of generalised Gaussian process experts AISTATS 2020
Probabilistic Object Detection: Definition and Evaluation WACV 2020
DeltaGrad: Rapid retraining of machine learning models ICML 2020
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020
Parametric Gaussian Process Regressors ICML 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors ICML 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift ICML 2020
Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions ICML 2020
Interpretable Deep Gaussian Processes with Moments AISTATS 2020
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions ICML 2020
Defense Through Diverse Directions ICML 2020
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation MIDL 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds ACL 2020
Measuring Forecasting Skill from Text ACL 2020
Uncertain Natural Language Inference ACL 2020
Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020