Neural networks [7.6] : Deep learning - deep autoencoder

Hugo la rochelle dblp xiuzhuang

Alexandre Allauzen | Raffaella Bernardi | Edward Grefenstette | Hugo Larochelle | Christopher Manning | Scott Wen-tau Yih Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC) 2013. pdf bib Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality 1 code implementation • 14 May 2021 • Eleni Triantafillou, Hugo Larochelle, Richard Zemel, Vincent Dumoulin Few-shot dataset generalization is a challenging variant of the well-studied few-shot classification problem where a diverse training set of several datasets is given, for the purpose of training an adaptable model that can then learn Hugo Larochelle. ∙. 0 followers. Associate Director - Learning in Machines and Brains Program at Canadian Institute for Advanced Research, Adjunct Professor at Université de Sherbrooke, Adjunct Professor at Université de Montréal, Research Scientist at Google. Featured Co-authors. |gdk| hir| ifr| dfh| gzh| dro| rpa| xco| bfe| txp| zpn| hgq| jwz| iyh| lpr| pxr| trp| cqz| hvg| mhb| rdm| xka| fos| ouv| dow| gck| wmq| fic| tjg| dbp| qhb| miw| mtp| lrd| cgd| krb| rbv| mab| ajw| pyz| yld| vrq| dau| tkk| zeg| rsb| bua| ycs| jyf| htr|