| Feature unlearning for pre-trained gans and vaes S Moon, S Cho, D Kim Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21420 …, 2024 | 25* | 2024 |
| A rotated hyperbolic wrapped normal distribution for hierarchical representation learning S Cho, J Lee, J Park, D Kim Advances in Neural Information Processing Systems 35, 17831-17843, 2022 | 13 | 2022 |
| Semi-supervised image classification with grad-CAM consistency J Lee, S Cho arXiv preprint arXiv:2108.13673, 2021 | 8 | 2021 |
| Hyperbolic VAE via Latent Gaussian Distributions S Cho, J Lee, D Kim | 6* | 2023 |
| Curve your attention: Mixed-curvature transformers for graph representation learning S Cho, S Cho, S Park, H Lee, H Lee, M Lee arXiv preprint arXiv:2309.04082, 2023 | 5 | 2023 |
| Robust Deep Learning from Crowds with Belief Propagation H Kim, S Cho, D Kim, J Ok International Conference on Artificial Intelligence and Statistics, 2803-2822, 2022 | 2 | 2022 |
| Roughly collected dataset for contact force sensing catheter S Cho, M Koo, D Kim, J Lee, Y Jung, K Nam, C Hwang arXiv preprint arXiv:2102.01932, 2021 | 1 | 2021 |
| CoPL: Collaborative Preference Learning for Personalizing LLMs Y Choi, S Cho, M Lee, MJ Park, Y Ko, J Ok, D Kim arXiv preprint arXiv:2503.01658, 2025 | | 2025 |
| GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder S Cho, Z Qin, Y Liu, Y Choi, S Lee, D Kim arXiv preprint arXiv:2502.11360, 2025 | | 2025 |
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