%0 Conference Paper %1 sensoyevidential %A Sensoy, Murat %A Kaplan, Lance %A Kandemir, Melih %D 2018 %K bayesian neurips2018 uncertainty %P 3179-3189 %T Evidential Deep Learning to Quantify Classification Uncertainty %U https://papers.nips.cc/paper/7580-evidential-deep-learning-to-quantify-classification-uncertainty

@inproceedings{sensoyevidential, added-at = {2020-08-10T20:23:17.000+0200}, author = {Sensoy, Murat and Kaplan, Lance and Kandemir, Melih}, biburl = {https://www.bibsonomy.org/bibtex/27464f49da5d79d86cebe45456914d8ea/kirk86}, description = {Evidential Deep Learning to Quantify Classification Uncertainty}, interhash = {fa75d07a507e0e5a799869c14f8835df}, intrahash = {7464f49da5d79d86cebe45456914d8ea}, keywords = {bayesian neurips2018 uncertainty}, pages = {3179-3189}, timestamp = {2020-08-10T20:23:34.000+0200}, title = {Evidential Deep Learning to Quantify Classification Uncertainty}, type = {misc}, url = {https://papers.nips.cc/paper/7580-evidential-deep-learning-to-quantify-classification-uncertainty}, year = 2018 }