%0 Journal Article %1 journals/corr/abs-1811-03567 %A Xiao, Will %A Chen, Honglin %A Liao, Qianli %A Poggio, Tomaso A. %D 2018 %J CoRR %K dblp %T Biologically-plausible learning algorithms can scale to large datasets. %U http://dblp.uni-trier.de/db/journals/corr/corr1811.html#abs-1811-03567 %V abs/1811.03567

@article{journals/corr/abs-1811-03567, added-at = {2018-11-23T00:00:00.000+0100}, author = {Xiao, Will and Chen, Honglin and Liao, Qianli and Poggio, Tomaso A.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c40ef48212801cab3a02aae4f5c56316/dblp}, ee = {http://arxiv.org/abs/1811.03567}, interhash = {054228fca415b137886d5c5962be64bd}, intrahash = {c40ef48212801cab3a02aae4f5c56316}, journal = {CoRR}, keywords = {dblp}, timestamp = {2019-09-27T10:12:22.000+0200}, title = {Biologically-plausible learning algorithms can scale to large datasets.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr1811.html#abs-1811-03567}, volume = {abs/1811.03567}, year = 2018 }