基本信息
浏览量:214
职业迁徙
个人简介
I am a Research Scientist at OpenAI working on the Science of Deep Learning.
Research overview: Machine learning is undergoing a paradigm shift where we pretrain foundation models (general-purpose models learned from large unlabeled datasets) and then transfer these models to learn a wide range of tasks of interest. Examples of this paradigm include CLIP, SimCLR, and GPT-4.
I have built some of the first theoretical understanding of these methods. I have transformed the theoretical results into improved practical algorithms – our methods have led to state-of-the-art accuracies on ImageNet (most popular machine learning benchmark) and applications such as satellite remote sensing, wildlife conservation, and radiology.
A lot of my work focuses on developing machine learning models that can be reliably deployed in the wild, e.g., robustness to distribution shifts, uncertainty calibration, and safety & fairness.
Research overview: Machine learning is undergoing a paradigm shift where we pretrain foundation models (general-purpose models learned from large unlabeled datasets) and then transfer these models to learn a wide range of tasks of interest. Examples of this paradigm include CLIP, SimCLR, and GPT-4.
I have built some of the first theoretical understanding of these methods. I have transformed the theoretical results into improved practical algorithms – our methods have led to state-of-the-art accuracies on ImageNet (most popular machine learning benchmark) and applications such as satellite remote sensing, wildlife conservation, and radiology.
A lot of my work focuses on developing machine learning models that can be reliably deployed in the wild, e.g., robustness to distribution shifts, uncertainty calibration, and safety & fairness.
研究兴趣
论文共 32 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
Yun-Shiuan Chuang,Yi Wu, Dhruv Gupta,Rheeya Uppaal,Ananya Kumar, Luhang Sun,Makesh Narsimhan Sreedhar,Sijia Yang,Timothy T. Rogers,Junjie Hu
CoRR (2023)
引用0浏览0EI引用
0
0
CoRR (2023)
CVPR 2023 (2023): 19338-19347
arXiv (Cornell University) (2022)
引用0浏览0引用
0
0
arXiv (Cornell University) (2022)
引用0浏览0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