no code implementations • CVPR 2019 • Yuanhang Su, Kai Fan, Nguyen Bach, C. -C. Jay Kuo, Fei Huang
Unsupervised neural machine translation (UNMT) has recently achieved remarkable results with only large monolingual corpora in each language.
no code implementations • 22 Jul 2018 • Yuanhang Su, Ruiyuan Lin, C. -C. Jay Kuo
A PCA based sequence-to-vector (seq2vec) dimension reduction method for the text classification problem, called the tree-structured multi-stage principal component analysis (TMPCA) is presented in this paper.
1 code implementation • 27 Feb 2018 • Yuanhang Su, C. -C. Jay Kuo
In this work, we first analyze the memory behavior in three recurrent neural networks (RNN) cells; namely, the simple RNN (SRN), the long short-term memory (LSTM) and the gated recurrent unit (GRU), where the memory is defined as a function that maps previous elements in a sequence to the current output.
no code implementations • 20 Jan 2018 • Yuanhang Su, Yuzhong Huang, C. -C. Jay Kuo
A novel text data dimension reduction technique, called the tree-structured multi-linear principal component anal- ysis (TMPCA), is proposed in this work.
no code implementations • ICLR 2018 • Yuanhang Su, Yuzhong Huang, C. -C. Jay Kuo
Based on the analysis, we propose a new design, called the extended-long short-term memory (ELSTM), to extend the memory length of a cell.