SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness. - Jongheon Jeong; Sejun Park; Minkyu Kim 004; Heung-Chang Lee; Do-Guk Kim; Jinwoo Shin (NeurIPS, 2021)

S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions. - Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jinwoo Shin (NeurIPS, 2023)

Explaining Visual Biases as Words by Generating Captions. - Younghyun Kim; Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jaeho Lee 001; Jinwoo Shin (CoRR, 2023)

S-CLIP: Semi-supervised Vision-Language Pre-training using Few Specialist Captions. - Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jinwoo Shin (CoRR, 2023)

Discovering and Mitigating Visual Biases Through Keyword Explanation. - Younghyun Kim; Sangwoo Mo; Minkyu Kim 004; Kyungmin Lee; Jaeho Lee 001; Jinwoo Shin (CVPR, 2024)

Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity. - Hagyeong Lee; Minkyu Kim 004; Jun-Hyuk Kim; Seungeon Kim; Dokwan Oh; Jaeho Lee 001 (ICML, 2024)