151 citations · 151 across the 2 of their papers we have counts for
4 papers
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu, Yu Zhang, James Glass
We present a factorized hierarchical variational autoencoder, which learns disentangled and interpretable representations from sequential data without supervision. Specifically, we…
Unsupervised Domain Adaptation for Robust Speech Recognition via Variational Autoencoder-Based Data Augmentation
Wei-Ning Hsu, Yu Zhang, James Glass
Domain mismatch between training and testing can lead to significant degradation in performance in many machine learning scenarios. Unfortunately, this is not a rare situation for…
Recurrent Neural Network Encoder with Attention for Community Question Answering
Wei-Ning Hsu, Yu Zhang, James Glass
We apply a general recurrent neural network (RNN) encoder framework to community question answering (cQA) tasks. Our approach does not rely on any linguistic processing, and can be…
On Training Bi-directional Neural Network Language Model with Noise Contrastive Estimation
Tianxing He, Yu Zhang, Jasha Droppo +1
We propose to train bi-directional neural network language model(NNLM) with noise contrastive estimation(NCE). Experiments are conducted on a rescore task on the PTB data set. It i…