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Suyeong Park

About me

I’m a master’s student at UNIST. I did research on Machine Learning in Computer Vision, especially, uncertainty estimation by Bayesian approach, active selection for federated learning.


I’m enthusiatstic to solve various problems around us using information of data, representation of machanisms using ML, and knowledge of human-beings. I believe that AI and human should interact to solve some problems, not AI algorithms only. We should note the role of AI and would use that toward better worlds, hopefully.

Research Interests

I’ve focused on ‘what information we need between (exploration/exploitation)’ which is called active learning in machine learning field. To slove this question, I’ve studied Bayesian approach for uncertainty estimation. Currently, I want to focus on ‘understanding an intrinsic attributes better using human-beings knowledge’ is crucial for deploying our machine learning models in a real-world for better human-beings life. I believe it’s the key factor for better AI and can be achieved by understanding causality of things (it’s pretty hard though).


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Thank you for your interest. :hugs: