Co-occurring keywords · papers mentioning both
Papers
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver
ICML 2019
Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences
CVPR 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
NeurIPS 2019
Reliable training and estimation of variance networks
NeurIPS 2019
Self-Supervised Mixture-of-Experts by Uncertainty Estimation
AAAI 2019
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference
ICCV 2019
Predictive Uncertainty Estimation via Prior Networks
NeurIPS 2018
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
ICML 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
NeurIPS 2017