37 citations · 85 across the 9 of their papers we have counts for
4 papers · 1 filter
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: from Time-Driven to Event-Driven
Qingtao Zhao, Jennie Si, Jian Sun
In this paper time-driven learning refers to the machine learning method that updates parameters in a prediction model continuously as new data arrives. Among existing approximate…
Dynamic Memory Induction Networks for Few-Shot Text Classification
Ruiying Geng, Binhua Li, Yongbin Li +2
This paper proposes Dynamic Memory Induction Networks (DMIN) for few-shot text classification. The model utilizes dynamic routing to provide more flexibility to memory-based few-sh…
A Survey on Dialog Management: Recent Advances and Challenges
Yinpei Dai, Huihua Yu, Yixuan Jiang +3
Dialog management (DM) is a crucial component in a task-oriented dialog system. Given the dialog history, DM predicts the dialog state and decides the next action that the dialog a…
Gauss-Newton Unrolled Neural Networks and Data-driven Priors for Regularized PSSE with Robustness
Qiuling Yang, Alireza Sadeghi, Gang Wang +2
Distributed renewable generation, elastic loads, and purposeful manipulation of meter readings challenge the monitoring and control of today's power systems (PS). In this context,…