| BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning C Oh, H Hwang, H Lee, YT Lim, G Jung, J Jung, H Choi, K Song CVPR 2023, 2023 | 25 | 2023 |
| Learning Fair Representation via Distributional Contrastive Disentanglement C Oh, H Won, J So, T Kim, Y Kim, H Choi, K Song KDD 2022, 2022 | 21* | 2022 |
| Geodesic multi-modal mixup for robust fine-tuning C Oh, J So, H Byun, YT Lim, M Shin, JJ Jeon, K Song NeurIPS 2023, 2022 | 17 | 2022 |
| Towards Calibrated Robust Fine-Tuning of Vision-Language Models C Oh, M Kim, H Lim, J Park, E Jeong, ZQ Cheng, K Song NeurIPS 2023 Workshop on Distribution Shifts, 2023 | 3 | 2023 |
| Graph Perceiver IO: A General Architecture for Graph Structured Data S Bae, H Byun, C Oh, YS Cho, K Song arXiv preprint arXiv:2209.06418, 2022 | 2 | 2022 |
| Language model-guided student performance prediction with multimodal auxiliary information C Oh, M Park, S Lim, K Song Expert Systems with Applications, 123960, 2024 | | 2024 |
| Bibimbap: Pre-trained models ensemble for Domain Generalization J Kang, T Kim, Y Kim, C Oh, J Jung, R Chang, K Song Pattern Recognition, 110391, 2024 | | 2024 |
| Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding H Jung, C Oh, J Kang, J Sohn, K Song, J Kim, DR Mortensen arXiv preprint arXiv:2402.14279, 2024 | | 2024 |
| Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments H Lee, H Byun, C Oh, JY Bak, K Song | | 2023 |
| Robust Contrastive Learning with Dynamic Mixed Margin J So, Y Lim, Y Kim, C Oh, K Song IEEE Access, 2023 | | 2023 |
| Tc-Bert: Large-Scale Language Model for Korean Technology Commercialization Documents H Hwang, C Oh, E Lee, T Kim, Y Kim, Y Choi, S Kim, H Choi, K Song Available at SSRN 4371884, 0 | | |
Kyungwoo SongYonsei Universityyonsei.ac.kr의 이메일 확인됨
