uncertainty estimation

SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient NeurIPS 2018 Structured Uncertainty Prediction Networks CVPR 2018 The Power of Ensembles for Active Learning in Image Classification CVPR 2018 Concrete Dropout NeurIPS 2017 Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017 Dropout Inference in Bayesian Neural Networks with Alpha-divergences ICML 2017 Improving Reinforcement Learning with Confidence-Based Demonstrations IJCAI 2017 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities COLING 2016 Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods NeurIPS 2016 Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image CVPR 2016 Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization CVPR 2015 Active Learning of an Action Detector from Untrimmed Videos ICCV 2013 Minimum Uncertainty Gap for Robust Visual Tracking CVPR 2013 Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration ICCV 2013 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Toward Information Theoretic Human-Robot Dialog RSS 2012 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008