1 citations · 1 across the 2 of their papers we have counts for
2 papers
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.LG2012★ 1 cited
Sufficient Dimensionality Reduction with Irrelevant Statistics
Amir Globerson, Gal Chechik, Naftali Tishby
The problem of finding a reduced dimensionality representation of categorical variables while preserving their most relevant characteristics is fundamental for the analysis of comp…