7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 7 cited
Generative Models For Deep Learning with Very Scarce Data
Juan Maroñas, Roberto Paredes, Daniel Ramos
The goal of this paper is to deal with a data scarcity scenario where deep learning techniques use to fail. We compare the use of two well established techniques, Restricted Boltzm…
cs.NE2016
Adversarial Ladder Networks
Juan Maroñas Molano, Alberto Albiol Colomer, Roberto Paredes Palacios
The use of unsupervised data in addition to supervised data in training discriminative neural networks has improved the performance of this clas- sification scheme. However, the be…