Uncertainty Quantification for Image-based Traffic Prediction across Cities

11 August 2023

Papers citing "Uncertainty Quantification for Image-based Traffic Prediction across Cities"

8 / 58 papers shown

Title
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models Sergey Ioffe BDL 61 539 0 10 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 670 5,798 0 05 Dec 2016
Robustly representing uncertainty in deep neural networks through sampling Patrick McClure N. Kriegeskorte UQCV BDL OOD 84 15 0 05 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 656 9,290 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.6K 76,917 0 18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 419 43,234 0 11 Feb 2015
Conditional validity of inductive conformal predictors V. Vovk 201 416 0 12 Sep 2012
A tutorial on conformal prediction Glenn Shafer V. Vovk 384 1,135 0 21 Jun 2007