%0 Conference Paper %1 conf/sdm/MartinM20 %A Martin, Charles H. %A Mahoney, Michael W. %B SDM %D 2020 %E Demeniconi, Carlotta %E Chawla, Nitesh V. %I SIAM %K dblp %P 505-513 %T Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks. %U http://dblp.uni-trier.de/db/conf/sdm/sdm2020.html#MartinM20 %@ 978-1-61197-623-6

@inproceedings{conf/sdm/MartinM20, added-at = {2020-05-28T00:00:00.000+0200}, author = {Martin, Charles H. and Mahoney, Michael W.}, biburl = {https://www.bibsonomy.org/bibtex/2fb9ebec1e6a375f2190a5dd109b1aa85/dblp}, booktitle = {SDM}, crossref = {conf/sdm/2020}, editor = {Demeniconi, Carlotta and Chawla, Nitesh V.}, ee = {https://doi.org/10.1137/1.9781611976236.57}, interhash = {dd511d2ee06f7574ff778f23467dfc27}, intrahash = {fb9ebec1e6a375f2190a5dd109b1aa85}, isbn = {978-1-61197-623-6}, keywords = {dblp}, note = {The conference was canceled because of the coronavirus pandemic, the reviewed papers are published in this volume.}, pages = {505-513}, publisher = {SIAM}, timestamp = {2020-07-24T01:00:48.000+0200}, title = {Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks.}, url = {http://dblp.uni-trier.de/db/conf/sdm/sdm2020.html#MartinM20}, year = 2020 }