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2020 – today
- 2025
[j4]Taero Kim, Changdae Oh, Hyeji Hwang, Eunkyeong Lee, Yewon Kim, Yunjeong Choi, Sungjin Kim, Hosik Choi, Kyungwoo Song:
TC-BERT: large-scale language model for Korean technology commercialization documents. J. Supercomput. 81(1): 163 (2025)- 2024
- [j3]Changdae Oh
, Minhoi Park, Sungjun Lim, Kyungwoo Song:
Language model-guided student performance prediction with multimodal auxiliary information. Expert Syst. Appl. 250: 123960 (2024) - [j2]Jinho Kang, Taero Kim, Yewon Kim, Changdae Oh, Jiyoung Jung, Rakwoo Chang, Kyungwoo Song:
Bibimbap : Pre-trained models ensemble for Domain Generalization. Pattern Recognit. 151: 110391 (2024) - [c4]Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song:
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. ECAI 2024: 2066-2073 - [i10]Haeji Jung, Changdae Oh, Jooeon Kang, Jimin Sohn, Kyungwoo Song, Jinkyu Kim, David R. Mortensen:
Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding. CoRR abs/2402.14279 (2024) - [i9]Sangyoun Lee, Juho Jung, Changdae Oh, Sunghee Yun:
Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism. CoRR abs/2407.13078 (2024) - [i8]Changdae Oh, Gyeongdeok Seo, Geunyoung Jung, Zhi-Qi Cheng, Hosik Choi, Jiyoung Jung, Kyungwoo Song:
Robust Adaptation of Foundation Models with Black-Box Visual Prompting. CoRR abs/2407.17491 (2024) - [i7]Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song:
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. CoRR abs/2408.10107 (2024) - [i6]Changdae Oh, Yixuan Li, Kyungwoo Song, Sangdoo Yun, Dongyoon Han:
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation. CoRR abs/2410.03782 (2024) - 2023
- [j1]Junhyuk So, YongTaek Lim, Yewon Kim, Changdae Oh, Kyungwoo Song:
Robust Contrastive Learning With Dynamic Mixed Margin. IEEE Access 11: 60211-60222 (2023) - [c3]Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song:
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CVPR 2023: 24224-24235 - [c2]Changdae Oh, Junhyuk So, Hoyoon Byun, YongTaek Lim, Minchul Shin, Jong-June Jeon, Kyungwoo Song:
Geodesic Multi-Modal Mixup for Robust Fine-Tuning. NeurIPS 2023 - [i5]Changdae Oh, Hyeji Hwang, Hee Young Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song:
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning. CoRR abs/2303.14773 (2023) - [i4]Changdae Oh, Mijoo Kim, Hyesu Lim, Junhyeok Park, Euiseog Jeong, Zhi-Qi Cheng, Kyungwoo Song:
Towards Calibrated Robust Fine-Tuning of Vision-Language Models. CoRR abs/2311.01723 (2023) - 2022
- [c1]Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song:
Learning Fair Representation via Distributional Contrastive Disentanglement. KDD 2022: 1295-1305 - [i3]Junhyuk So, Changdae Oh, Minchul Shin, Kyungwoo Song:
Multi-Modal Mixup for Robust Fine-tuning. CoRR abs/2203.03897 (2022) - [i2]Changdae Oh, Heeji Won, Junhyuk So, Taero Kim, Yewon Kim, Hosik Choi, Kyungwoo Song:
Learning Fair Representation via Distributional Contrastive Disentanglement. CoRR abs/2206.08743 (2022) - [i1]Seyun Bae, Hoyoon Byun, Changdae Oh, Yoon-Sik Cho, Kyungwoo Song:
Graph Perceiver IO: A General Architecture for Graph Structured Data. CoRR abs/2209.06418 (2022)
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