200 citations · 1.1k across the 39 of their papers we have counts for
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cs.LG2015★ 27 cited
Task Loss Estimation for Sequence Prediction
Dzmitry Bahdanau, Dmitriy Serdyuk, Philémon Brakel +4
Often, the performance on a supervised machine learning task is evaluated with a emph{task loss} function that cannot be optimized directly. Examples of such loss functions include…
cs.LG2015★ 55 cited
Transferring Knowledge from a RNN to a DNN
William Chan, Nan Rosemary Ke, Ian Lane
Deep Neural Network (DNN) acoustic models have yielded many state-of-the-art results in Automatic Speech Recognition (ASR) tasks. More recently, Recurrent Neural Network (RNN) mode…