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Tensor Decomposition for Compressing Recurrent Neural Network
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
In the machine learning fields, Recurrent Neural Network (RNN) has become a popular architecture for sequential data modeling. However, behind the impressive performance, RNNs requ…
Gated Recurrent Neural Tensor Network
Andros Tjandra, Sakriani Sakti, Ruli Manurung +2
Recurrent Neural Networks (RNNs), which are a powerful scheme for modeling temporal and sequential data need to capture long-term dependencies on datasets and represent them in hid…
Compressing Recurrent Neural Network with Tensor Train
Andros Tjandra, Sakriani Sakti, Satoshi Nakamura
Recurrent Neural Network (RNN) are a popular choice for modeling temporal and sequential tasks and achieve many state-of-the-art performance on various complex problems. However, m…