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20162020
most citedCalibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks

34 citations · 47 across the 6 of their papers we have counts for

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2 papers · 1 filter

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…

cs.NE2016★ 1 cited

LAYERS: Yet another Neural Network toolkit

Roberto Paredes, José-Miguel Benedí

Layers is an open source neural network toolkit aim at providing an easy way to implement modern neural networks. The main user target are students and to this end layers provides…