| Regularizing class-wise predictions via self-knowledge distillation S Yun, J Park, K Lee, J Shin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 432 | 2020 |
| Robust inference via generative classifiers for handling noisy labels K Lee, S Yun, K Lee, H Lee, B Li, J Shin International conference on machine learning, 3763-3772, 2019 | 192 | 2019 |
| Patch-level representation learning for self-supervised vision transformers S Yun, H Lee, J Kim, J Shin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 84 | 2022 |
| Web2code: A large-scale webpage-to-code dataset and evaluation framework for multimodal llms S Yun, R Thushara, M Bhat, Y Wang, M Deng, J Wang, T Tao, J Li, H Li, ... Advances in neural information processing systems 37, 112134-112157, 2024 | 45 | 2024 |
| Opencos: Contrastive semi-supervised learning for handling open-set unlabeled data J Park, S Yun, J Jeong, J Shin European conference on computer vision, 134-149, 2022 | 38 | 2022 |
| Hierarchical context merging: Better long context understanding for pre-trained llms W Song, S Oh, S Mo, J Kim, S Yun, JW Ha, J Shin arXiv preprint arXiv:2404.10308, 2024 | 31 | 2024 |
| Ifseg: Image-free semantic segmentation via vision-language model S Yun, SH Park, PH Seo, J Shin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Time is matter: Temporal self-supervision for video transformers S Yun, J Kim, D Han, H Song, JW Ha, J Shin arXiv preprint arXiv:2207.09067, 2022 | 19 | 2022 |
| Semi-supervised tabular classification via in-context learning of large language models J Nam, W Song, SH Park, J Tack, S Yun, J Kim, J Shin Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023 | 18 | 2023 |
| Tabular transfer learning via prompting llms J Nam, W Song, SH Park, J Tack, S Yun, J Kim, KH Oh, J Shin arXiv preprint arXiv:2408.11063, 2024 | 10 | 2024 |
| Dmt-jepa: Discriminative masked targets for joint-embedding predictive architecture S Mo, S Yun arXiv preprint arXiv:2405.17995, 2024 | 6 | 2024 |
| Robust determinantal generative classifier for noisy labels and adversarial attacks K Lee, S Yun, K Lee, H Lee, B Li, J Shin | 4 | 2018 |
| TSPipe: Learn from Teacher Faster with Pipelines H Lim, Y Kim, S Yun, J Shin, D Han International Conference on Machine Learning, 13302-13312, 2022 | 1 | 2022 |
| Dense Representation Learning for a Joint-Embedding Predictive Architecture S Mo, S Yun | 1 | |
| PPT: Patch Order Do Matters In Time Series Pretext Task J Kim, K Park, S Yun, S Lee The Thirteenth International Conference on Learning Representations, 0 | 1 | |
| TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation SH Park, H Jang, B Jeon, S Yun, PH Seo, J Shin Advances in Neural Information Processing Systems 37, 67147-67171, 2024 | | 2024 |
| Deep determinantal generative classifier: robustness on noisy and adversarial samples K Lee, S Yun, K Lee, H Lee, B Li, J Shin | | 2019 |
| GMAIL: Generative Modality Alignment for generated Image Learning S Mo, S Yun Forty-second International Conference on Machine Learning, 0 | | |
| Toward Escaping Model Collapse: Aligning Generated Images as a New Modality S Mo, S Yun | | |
| InstaTAP: Instance Motion Estimation for Tracking Any Point SH Park, S Yun, PH Seo, J Shin | | |
