Jihoon Tack
Contact: jihoontack@{kaist.ac.kr, gmail.com}
|
|
Jihoon TackContact: jihoontack@{kaist.ac.kr, gmail.com} |
I am a final year Ph.D. student at KAIST, advised by Jinwoo Shin and a Research Intern at Meta FAIR, advised by Xian Li. I am also closely collaborating with Jonathan Richard Schwarz at Harvard University and Yee Whye Teh at University of Oxford. My research is primarily centered on developing efficient and robust (or safe) 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, 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