Oh, Changdae

9 publications

ICLR 2025 DaWin: Training-Free Dynamic Weight Interpolation for Robust Adaptation Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han

ICML 2025 Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li

ICLRW 2025 Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach Changdae Oh, Zhen Fang, Shawn Im, Xuefeng Du, Yixuan Li

NeurIPS 2025 Visual Instruction Bottleneck Tuning Changdae Oh, Jiatong Li, Shawn Im, Sharon Li

NeurIPSW 2024 Adapting Foundation Models via Training-Free Dynamic Weight Interpolation Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han

NeurIPS 2024 Towards Calibrated Robust Fine-Tuning of Vision-Language Models Changdae Oh, Hyesu Lim, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song

CVPR 2023 BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning Changdae Oh, Hyeji Hwang, Hee-young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song

NeurIPS 2023 Geodesic Multi-Modal Mixup for Robust Fine-Tuning Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song

NeurIPSW 2023 Towards Calibrated Robust Fine-Tuning of Vision-Language Models Changdae Oh, Mijoo Kim, Hyesu Lim, Junhyeok Park, Euiseog Jeong, Zhi-Qi Cheng, Kyungwoo Song