基本信息
浏览量:36
职业迁徙
个人简介
My research focuses on reasoning, compositionality, and representation learning, at the intersection of vision and language.
I explore structural principles and inductive biases for making neural networks more interpretable, robust and data-efficient, and allow them to generalize effectively and systematically from a few samples only. I believe in the importance of multi-disciplinary both within the AI field and across domains, and draw high-level inspiration from the feats of the human mind, including its structural properties as well as cognitive capabilities.
I believe that compositionality is a key ingredient that, if incorporated successfully into neural models, may help bridging the gap between machine intelligence and natural intelligence. I explore ways to achieve compositionality both in terms of computation and representation.
I explore structural principles and inductive biases for making neural networks more interpretable, robust and data-efficient, and allow them to generalize effectively and systematically from a few samples only. I believe in the importance of multi-disciplinary both within the AI field and across domains, and draw high-level inspiration from the feats of the human mind, including its structural properties as well as cognitive capabilities.
I believe that compositionality is a key ingredient that, if incorporated successfully into neural models, may help bridging the gap between machine intelligence and natural intelligence. I explore ways to achieve compositionality both in terms of computation and representation.
研究兴趣
论文共 10 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
arxiv(2022)
引用86浏览0EI引用
86
0
CoRR (2019): 5901-5914
引用0浏览0EI引用
0
0
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