I am YoungJae Cho, a passionate AI/ML Researcher with a creative spirit and a dedication to excellence. I earned my master's degree from KAIST, with guidance from Professor Il-Chul Moon. I conducted practical machine learning scenarios such as data-efficient and parameter-efficient learning in uni and multi modal frameworks.
M.S., Industrial Engineering
Advisor: Il-Chul Moon
B.S., Industrial Engineering
Yoon-Yeong Kim*, Youngjae Cho*, JoonHo Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon,
SAAL: Sharpness-Aware Active Learning, International Conference on Machine Learning (ICML 2023)
Youngjae Cho, Gwangyeol Kim, Sirojbek Safarov, Seongdeok Bang, Jaewoo Park
Background-Aware Defect Generation for Robust Industrial Anomaly Detection ,
Underreview
Youngjae Cho, HeeSun Bae, Seungjae Shin, YeoDong Youn, Weonyoung Joo, Il-chul Moon,
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data Dependent Prior, AAAI 2024
🎶: From collecting LPs and CDs to curating playlists for my YouTube channel.