5 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 2 cited
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
Wenxian Shi, Hao Zhou, Ning Miao +1
Deep generative models are commonly used for generating images and text. Interpretability of these models is one important pursuit, other than the generation quality. Variational a…
cs.CL2016★ 5 cited
An Efficient Character-Level Neural Machine Translation
Shenjian Zhao, Zhihua Zhang
Neural machine translation aims at building a single large neural network that can be trained to maximize translation performance. The encoder-decoder architecture with an attentio…
math.NA2015
A Scalable and Extensible Framework for Superposition-Structured Models
Shenjian Zhao, Cong Xie, Zhihua Zhang
In many learning tasks, structural models usually lead to better interpretability and higher generalization performance. In recent years, however, the simple structural models such…