Multimodality Lifelong Learning

Friday, November 12, 2021 1 p.m. to 2 p.m.

Abstract:

Lifelong learning refers to a machine learning paradigm that continually learns and acquires knowledge over a series of tasks. In reality, many systems have to face the real world that is full of unknowns and they have to keep on learning in order to function well. Learning a model on a given fixed training dataset beforehand would lead to either poor performance or dangerous scenarios. In this talk, Dr. Ma will introduce her work on lifelong learning which is supported by DARPA’s L2M (Lifelong Learning Machine) program.

Biography


Ying Ma received her Ph.D. from the University of Florida with the Department of Electronic and Computer Engineering, under supervision of Prof. Jose Principe in 2021. From July 2015 to July 2016, she visited the Department of Electrical and Computer Engineering, University of Southampton, Southampton, U.K. as a Visiting Student under the supervision of Prof. L. Hanzo and Prof. S. Chen. She was a Summer research Intern at Apple Siri understanding in 2019 and Google in 2020 and 2021.

Her current research interests include machine learning and deep learning, especially reinforcement learning and continual learning.


Zoom Details
Link: https://ucf.zoom.us/j/92946068953
Meeting ID: 929 4606 8953

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L3Harris Engineering Center: 438

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Machine Learning