%0 Journal Article
%1 villalobos2022will
%A Villalobos, Pablo
%A Sevilla, Jaime
%A Heim, Lennart
%A Besiroglu, Tamay
%A Hobbhahn, Marius
%A Ho, Anson
%D 2022
%J arXiv preprint arXiv:2211.04325
%K themis large data machine learning requirement deep models model dataset datasets set sets limit
%T Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
@article{villalobos2022will,
added-at = {2023-01-05T13:33:07.000+0100},
author = {Villalobos, Pablo and Sevilla, Jaime and Heim, Lennart and Besiroglu, Tamay and Hobbhahn, Marius and Ho, Anson},
biburl = {https://www.bibsonomy.org/bibtex/238f21335c8bcd40ee2e49567d941c96b/becker},
interhash = {2711e43eee9aebb3a1935653886fe453},
intrahash = {38f21335c8bcd40ee2e49567d941c96b},
journal = {arXiv preprint arXiv:2211.04325},
keywords = {themis large data machine learning requirement deep models model dataset datasets set sets limit},
timestamp = {2023-01-05T13:33:07.000+0100},
title = {Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning},
year = 2022
}