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%0 Conference Paper
%1 conf/nips/GrinsztajnOV22
%A Grinsztajn, Léo
%A Oyallon, Edouard
%A Varoquaux, Gaël
%B NeurIPS
%D 2022
%E Koyejo, Sanmi
%E Mohamed, S.
%E Agarwal, A.
%E Belgrave, Danielle
%E Cho, K.
%E Oh, A.
%K dblp
%T Why do tree-based models still outperform deep learning on typical tabular data?
%U http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#GrinsztajnOV22
%@ 9781713871088
@inproceedings{conf/nips/GrinsztajnOV22,
added-at = {2024-01-08T00:00:00.000+0100},
author = {Grinsztajn, Léo and Oyallon, Edouard and Varoquaux, Gaël},
biburl = {https://www.bibsonomy.org/bibtex/2cf74925096f7e3241a57c712954c1a34/dblp},
booktitle = {NeurIPS},
crossref = {conf/nips/2022},
editor = {Koyejo, Sanmi and Mohamed, S. and Agarwal, A. and Belgrave, Danielle and Cho, K. and Oh, A.},
ee = {http://papers.nips.cc/paper_files/paper/2022/hash/0378c7692da36807bdec87ab043cdadc-Abstract-Datasets_and_Benchmarks.html},
interhash = {270fbc12390a268d7ad4b845d452e38d},
intrahash = {cf74925096f7e3241a57c712954c1a34},
isbn = {9781713871088},
keywords = {dblp},
timestamp = {2024-04-09T23:22:16.000+0200},
title = {Why do tree-based models still outperform deep learning on typical tabular data?},
url = {http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#GrinsztajnOV22},
year = 2022
}