%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 }