Out-of-Distribution Generalization: Progress and Challenges

Speaker:        Dr. Zhenguo LI
                Director of AI Theory Lab
                Huawei Noah's Ark Lab
                Hong Kong

Title:  "Out-of-Distribution Generalization: Progress and Challenges"

Date:   Monday, 19 September 2022

Time:   4:00pm - 5:00pm

Venue:  Lecture Theater F (Leung Yat Sing Lecture Theater)
        (near lift 25/26, HKUST)


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.


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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.