Out-of-Distribution Generalization: Progress and Challenges

Speaker:
Dr. Li Zhenguo
Director, AI Theory Lab
Huawei Noah’s Ark Lab, Hong Kong

Abstract:
Noah’s Ark Lab is the AI research center for Huawei, with the mission of making significant contribution to both the company and society through innovation in artificial intelligence (AI), data mining and related fields. Our AI theory team focuses on the fundamental research in machine learning, including cutting-edge theories and algorithms such as out-of-distribution (OoD) generalization and controllable generative modeling, and disruptive applications such as self-driving. In this talk, we will present some of our progresses in out-of-distribution generalization, including OoD-learnable theories and model selection, understanding and quantification of OoD properties of various benchmark datasets, and related applications. We will also highlight some key challenges for future studies.

Biography:
Zhenguo Li is currently the director of the AI Theory Lab in Huawei Noah’s Ark Lab, Hong Kong. Before joining Huawei Noah’s Ark lab, he was an associate research scientist in the department of electrical engineering, Columbia University, working with Prof. Shih-Fu Chang. He received BS and MS degrees in mathematics at Peking University, and PhD degree in machine learning at The Chinese University of Hong Kong, advised by Prof. Xiaoou Tang. His current research interests include machine learning and its applications.

Enquiries: Ms. Karen Chan at Tel. 3943 8439