6 citations · 8 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2015
Gradual Training Method for Denoising Auto Encoders
Alexander Kalmanovich, Gal Chechik
Stacked denoising auto encoders (DAEs) are well known to learn useful deep representations, which can be used to improve supervised training by initializing a deep network. We inve…
cs.LG2014★ 2 cited
Gradual training of deep denoising auto encoders
Alexander Kalmanovich, Gal Chechik
Stacked denoising auto encoders (DAEs) are well known to learn useful deep representations, which can be used to improve supervised training by initializing a deep network. We inve…