124 citations · 126 across the 3 of their papers we have counts for
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cs.LG2020★ 124 cited
Autoencoders
Dor Bank, Noam Koenigstein, Raja Giryes
An autoencoder is a specific type of a neural network, which is mainly designed to encode the input into a compressed and meaningful representation, and then decode it back such th…
cs.LG2018★ 2 cited
An ETF view of Dropout regularization
Dor Bank, Raja Giryes
Dropout is a popular regularization technique in deep learning. Yet, the reason for its success is still not fully understood. This paper provides a new interpretation of Dropout f…
cs.LG2017
Improved Training for Self-Training by Confidence Assessments
Gal Hyams, Daniel Greenfeld, Dor Bank
It is well known that for some tasks, labeled data sets may be hard to gather. Therefore, we wished to tackle here the problem of having insufficient training data. We examined lea…