Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

Jinmian Ye, Linnan Wang, Guangxi Li +4

Recurrent Neural Networks (RNNs) are powerful sequence modeling tools. However, when dealing with high dimensional inputs, the training of RNNs becomes computational expensive due…