40 citations · 40 across the 1 of their papers we have counts for
2 papers
stat.ML2020★ 40 cited
Do RNN and LSTM have Long Memory?
Jingyu Zhao, Feiqing Huang, Jia Lv +4
The LSTM network was proposed to overcome the difficulty in learning long-term dependence, and has made significant advancements in applications. With its success and drawbacks in…
cs.LG2019
Compact Autoregressive Network
Di Wang, Feiqing Huang, Jingyu Zhao +2
Autoregressive networks can achieve promising performance in many sequence modeling tasks with short-range dependence. However, when handling high-dimensional inputs and outputs, t…