Changdae Oh

According to our database, Changdae Oh authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Bibimbap : Pre-trained models ensemble for Domain Generalization.

Jinho Kang, Taero Kim, Yewon Kim, Changdae Oh, Jiyoung Jung, Rakwoo Chang, Kyungwoo Song

Pattern Recognit., 2024

Language model-guided student performance prediction with multimodal auxiliary information.

Changdae Oh, Minhoi Park, Sungjun Lim, Kyungwoo Song

Expert Syst. Appl., 2024

Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding.

Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen

CoRR, 2024

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

CoRR, 2023

Robust Contrastive Learning With Dynamic Mixed Margin.

Junhyuk So, YongTaek Lim, Yewon Kim, Changdae Oh, Kyungwoo Song

IEEE Access, 2023

Geodesic Multi-Modal Mixup for Robust Fine-Tuning.

Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Graph Perceiver IO: A General Architecture for Graph Structured Data.

Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song

CoRR, 2022

Multi-Modal Mixup for Robust Fine-tuning.

Junhyuk So, Changdae Oh, Minchul Shin, Kyungwoo Song

CoRR, 2022

Learning Fair Representation via Distributional Contrastive Disentanglement.

Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022