%0 Conference Paper %1 Kendall2017 %A Kendall, Alex %A Gal, Yarin %B Proceedings of the 31st International Conference on Neural Information Processing Systems %C Red Hook, NY, USA %D 2017 %I Curran Associates Inc. %K Bayesian Deep Learning Learning, %P 5580–5590 %T What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? %U https://papers.nips.cc/paper/7141-what-uncertainties-do-we-need-in-bayesian-deep-learning-for-computer-vision.pdf %@ 9781510860964

@inproceedings{Kendall2017, added-at = {2020-10-15T14:36:56.000+0200}, address = {Red Hook, NY, USA}, author = {Kendall, Alex and Gal, Yarin}, biburl = {https://www.bibsonomy.org/bibtex/20482dda388106e48264662db8ca47d05/annakrause}, booktitle = {Proceedings of the 31st International Conference on Neural Information Processing Systems}, file = {:KendallGal_WhatUncertaintiesDoWeNeedInBayesianDeepLearningForComputerVision.pdf:PDF}, interhash = {4e9b95f1f3b8270e2ab0a4f51776db7b}, intrahash = {0482dda388106e48264662db8ca47d05}, isbn = {9781510860964}, keywords = {Bayesian Deep Learning Learning,}, location = {Long Beach, California, USA}, numpages = {11}, pages = {5580–5590}, publisher = {Curran Associates Inc.}, series = {NIPS’17}, timestamp = {2020-10-15T14:44:42.000+0200}, title = {{What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?}}, url = {https://papers.nips.cc/paper/7141-what-uncertainties-do-we-need-in-bayesian-deep-learning-for-computer-vision.pdf}, year = 2017 }