23 citations · 48 across the 11 of their papers we have counts for
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2 papers · 1 filter
cs.CV2017★ 1 cited
A Fully Trainable Network with RNN-based Pooling
Shuai Li, Wanqing Li, Chris Cook +2
Pooling is an important component in convolutional neural networks (CNNs) for aggregating features and reducing computational burden. Compared with other components such as convolu…
cs.CL2017★ 23 cited
Deep LSTM for Large Vocabulary Continuous Speech Recognition
Xu Tian, Jun Zhang, Zejun Ma +6
Recurrent neural networks (RNNs), especially long short-term memory (LSTM) RNNs, are effective network for sequential task like speech recognition. Deeper LSTM models perform well…