219 citations · 385 across the 13 of their papers we have counts for
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cs.CV2016
Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks
Boris Knyazev, Erhardt Barth, Thomas Martinetz
In visual recognition tasks, such as image classification, unsupervised learning exploits cheap unlabeled data and can help to solve these tasks more efficiently. We show that the…
cs.CL2016★ 97 cited
Recurrent Dropout without Memory Loss
Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth
This paper presents a novel approach to recurrent neural network (RNN) regularization. Differently from the widely adopted dropout method, which is applied to \textit{forward} conn…