| Learning to optimize domain specific normalization for domain generalization S Seo, Y Suh, D Kim, G Kim, J Han, B Han Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 260 | 2020 |
| Multi-level branched regularization for federated learning J Kim, G Kim, B Han International Conference on Machine Learning, 11058-11073, 2022 | 38 | 2022 |
| Communication-efficient federated learning with accelerated client gradient G Kim, J Kim, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 29* | 2024 |
| Combinatorial inference against label noise PH Seo, G Kim, B Han Advances in neural information processing systems 32, 2019 | 20 | 2019 |
| Relaxed contrastive learning for federated learning S Seo, J Kim, G Kim, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Open-set representation learning through combinatorial embedding G Kim, J Kang, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Cross-Modal Prediction Consistency based Self-Training for Unsupervised Domain Adaptation D Kim, G Kim, S Seo, Y Suh, B Han, T Lee, J Han, H Jeon | | |
Bohyung HanProfessor, Seoul National UniversityVerified email at snu.ac.kr
