4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CR2021
Boosting the Capability of Intelligent Vulnerability Detection by Training in a Human-Learning Manner
Shihan Dou, Yueming Wu, Wenxuan Li +3
Due to its powerful automatic feature extraction, deep learning (DL) has been widely used in source code vulnerability detection. However, although it performs well on artificial d…
cs.LG2021★ 4 cited
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning
Zichuan Lin, Junyou Li, Jianing Shi +3
Learning rational behaviors in open-world games like Minecraft remains to be challenging for Reinforcement Learning (RL) research due to the compound challenge of partial observabi…
cs.CL2021
Hierarchical Neural Data Synthesis for Semantic Parsing
Wei Yang, Peng Xu, Yanshuai Cao
Semantic parsing datasets are expensive to collect. Moreover, even the questions pertinent to a given domain, which are the input of a semantic parsing system, might not be readily…