%0 Conference Paper %1 conf/icpr/0001SB0L20 %A Georgiou, Theodoros %A Schmitt, Sebastian %A Bäck, Thomas %A Chen, Wei %A Lew, Michael S. %B ICPR %D 2020 %I IEEE %K dblp %P 8812-8818 %T Norm Loss: An efficient yet effective regularization method for deep neural networks. %U http://dblp.uni-trier.de/db/conf/icpr/icpr2020.html#0001SB0L20 %@ 978-1-7281-8808-9

@inproceedings{conf/icpr/0001SB0L20, added-at = {2022-04-09T00:00:00.000+0200}, author = {Georgiou, Theodoros and Schmitt, Sebastian and Bäck, Thomas and Chen, Wei and Lew, Michael S.}, biburl = {https://www.bibsonomy.org/bibtex/2c501111db70d0c467e76314867b83c95/dblp}, booktitle = {ICPR}, crossref = {conf/icpr/2020}, ee = {https://doi.org/10.1109/ICPR48806.2021.9412171}, interhash = {d06a2d9364bd903a40ef1611ac3bfede}, intrahash = {c501111db70d0c467e76314867b83c95}, isbn = {978-1-7281-8808-9}, keywords = {dblp}, pages = {8812-8818}, publisher = {IEEE}, timestamp = {2024-04-09T14:44:32.000+0200}, title = {Norm Loss: An efficient yet effective regularization method for deep neural networks.}, url = {http://dblp.uni-trier.de/db/conf/icpr/icpr2020.html#0001SB0L20}, year = 2020 }