Mixture-of-Experts in Deep Learning: Applications and Theory

Mixture-of-Experts is a powerful approach that leverages the strengths of multiple specialized models to tackle complex problems, offering improved performance and efficiency in various machine learning applications. In this talk, Dr. Lin will cover the basics of MoE and its recent development in large language models. Furthermore, he will briefly introduce the theory behind MoE under different setups to better understand its performance in practice.

This is a hybrid event. Join the event virtually at https://gdg.community.dev/events/details/google-gdg-houston-presents-mixture-of-experts-in-deep-learning-applications-and-theory/
or in person at

3551 Cullen Blvd - 3551 Cullen Boulevard Houston, 77004

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Agenda

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Speaker

Lin Sen - University Of Houston (Professor)

In his words "I am an assistant professor in the Computer Science Department at University of Houston. Prior to that, I was a Postdoctoral Scholar in AI-EDGE Institute at The Ohio State University, advised by Prof. Ness Shroff, Prof. Yingbin Liang, and Prof. Anish Arora. I received my B.Eng. degree in Electrical Engineering from Zhejiang University, Hangzhou, China, in 2013, my M.S. degree in …

Host

Rabimba Karanjai - Rice University (Graduate Researcher)

Rabimba Karanjai is a full time graduate researcher, part time hacker and FOSS enthusiast. He is working with Mozilla Research Mixed Reality team on WebVR. He also is a Mozilla TechSpeaker and Google Developer Expert on Web Technologies (WebXR). And would love to chat with you on VR,AR,Security and openweb over a cup of coffee or bottle of beer

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Partner

University Of Houston - Computer Science Graduate Student Association (CSGSA) (https://uh.campuslabs.com/engage/organization/csgsa)

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Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-houston-presents-mixture-of-experts-in-deep-learning-applications-and-theory/.