One paper accepted to ICLR 2024!

Querying Easily Flip-flopped Samples for Deep Active Learning

Junghyun Lee
Last updated on Jan 16, 2023 1 min read

One paper (Querying Easily Flip-flopped Samples for Deep Active Learning) is accepted to ICLR 2024! This is joint work with Seong Jin Cho (who led the entire project and did all the experiments!) (KAIST EE), Gwangsu Kim (JBNU Statistics), Jinwoo Shin (KAIST AI), and Chang D. Yoo (KAIST EE).

I’ll be attending in person. See you all at Vienna, Austria!

Junghyun Lee
Junghyun Lee
PhD Student

PhD student at GSAI, KAIST, jointly advised by Prof. Se-Young Yun and Prof. Chulhee Yun. Interested in mathematical and theoretical AI, where I am interested in explaining the recent success of machine/deep learning algorithms and designing mathematically well-grounded algorithms for various scenarios.