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Jihoon TackContact: jihoontack at kaist.ac.kr |
I am a Ph.D. student at ALIN-LAB, advised by Prof. Jinwoo Shin at Korea Advanced Institute of Science and Technology (KAIST).
My research focuses on designing algorithms to tackle distributional shifts in machine learning, i.e., training and testing distribution differs. Such research is critical for many real-world applications with trustworthy and safe usage, e.g., autonomous driving and robotics. To this end, I focus on developing (i) robust representation learning schemes under various distributional shifts and (ii) quick adaptation algorithms for unseen distributions and tasks. In addition, I have a broad interest in handling complex signals efficiently by utilizing implicit neural representations.
(C: Conference, W: Workshop, P: Preprint, *: Equal contribution)