%0 Conference Paper %1 conf/icml/HoLCSA19 %A Ho, Daniel %A Liang, Eric %A Chen, Xi %A Stoica, Ion %A Abbeel, Pieter %B ICML %D 2019 %E Chaudhuri, Kamalika %E Salakhutdinov, Ruslan %I PMLR %K dblp %P 2731-2741 %T Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules. %U http://dblp.uni-trier.de/db/conf/icml/icml2019.html#HoLCSA19 %V 97

@inproceedings{conf/icml/HoLCSA19, added-at = {2019-09-24T00:00:00.000+0200}, author = {Ho, Daniel and Liang, Eric and Chen, Xi and Stoica, Ion and Abbeel, Pieter}, biburl = {https://www.bibsonomy.org/bibtex/2da196d775f6bd639fcda219a2df9818b/dblp}, booktitle = {ICML}, crossref = {conf/icml/2019}, editor = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan}, ee = {http://proceedings.mlr.press/v97/ho19b.html}, interhash = {83643a2117999b5f16976ed051a4b700}, intrahash = {da196d775f6bd639fcda219a2df9818b}, keywords = {dblp}, pages = {2731-2741}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2019-09-25T11:40:50.000+0200}, title = {Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules.}, url = {http://dblp.uni-trier.de/db/conf/icml/icml2019.html#HoLCSA19}, volume = 97, year = 2019 }