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Jihoon TackContact: jihoontack@{kaist.ac.kr, gmail.com} |
I am a final year Ph.D. student at KAIST, advised by Prof. Jinwoo Shin. I am also closely collaborating with Dr. Jonathan Richard Schwarz, Prof. Marinka Zitnik at Harvard University and Prof. Yee Whye Teh at University of Oxford. My research is primarily centered on developing efficient and robust machine learning frameworks to tackle the emerging challenges of large models. In particular, my recent research focuses on developing efficient pre-training and adaptation algorithms, mainly leveraging useful prior knowledge extracted from multiple tasks (e.g., meta-learning) combined with efficient training and inference schemes (e.g., data pruning, weight pruning, quantization, and efficient parametrization). I am fortunate to be a recipient of Google Ph.D. Fellowship in machine learning.
Topics of interest (publications with overlap):
* denotes equal contribution