Out-of-distribution Generalization and Its Applications for Multimedia

Out-of-distribution generalization is becoming a hot research topic in both academia and industry. This tutorial is to disseminate and promote the recent research achievements on out-of-distribution generalization as well as their applications on multimedia, which is an exciting and fast-growing research direction in the general field of machine learning and multimedia. We will advocate novel, high-quality research findings, as well as innovative solutions to the challenging problems in out-of-distribution generalization and its applications for multimedia. This topic is at the core of the scope of ACM Multimedia, and is attractive to MM audience from both academia and industry.

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