AutoML and Meta-learning for Multimedia

Wenwu Zhu, Xin Wang, Wenpeng Zhang

Abstract: AutoML and meta-learning are exciting and fast-growing research directions to the research community in both academia and industry. This tutorial is to disseminate and promote the recent research achievements on AutoML and meta-learning as well as their potential applications for multimedia. Specifically, we will first advocate novel, high-quality research findings and innovative solutions to the challenging problems in AutoML and meta-learning. Then we will discuss scenarios of multimedia where AutoML and meta-learning serve as candidates for solutions. Finally, we will point out future research directions on AutoML and meta-learning as well as their potential new applications for multimedia.