%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 }