111 citations · 391 across the 44 of their papers we have counts for
3 papers · 1 filter
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…