基本信息
浏览量:41
职业迁徙
个人简介
My lab's research is on Reading to Learn: how we can use language understanding to generalize and learn more efficiently. Why should we read to learn? Most machine learning techniques train on vast amount of labeled data or experience for specific problems. When the problems change (e.g. driving in a new country, controlling a new robot, language interface for a new database), the expensive solution we trained no longer generalizes to new problems. The strength of humans lies in our ability to adapt to new problems adeptly through reading. For instance, understanding the traffic rules of a new country, the workings of a new coffee machine, or the content of a new database can be accomplished through reading the manual.
研究兴趣
论文共 31 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua,Zhoujun Cheng, Dongchan Shin, Fangyu Lei,Yitao Liu,Yiheng Xu,
arxiv(2024)
引用0浏览0引用
0
0
ICLR 2024 (2024)
引用0浏览0引用
0
0
arXiv (Cornell University) (2023)
引用0浏览0引用
0
0
bioRxiv (Cold Spring Harbor Laboratory) (2023)
引用0浏览0引用
0
0
CoRR (2023)
引用0浏览0EI引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn