| Improving diffusion models for authentic virtual try-on in the wild Y Choi, S Kwak, K Lee, H Choi, J Shin European Conference on Computer Vision, 206-235, 2024 | 46* | 2024 |
| Discovering and mitigating visual biases through keyword explanation Y Kim, S Mo, M Kim, K Lee, J Lee, J Shin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 44* | 2024 |
| Collaborative score distillation for consistent visual synthesis S Kim, K Lee, JS Choi, J Jeong, K Sohn, J Shin arXiv preprint arXiv:2307.04787, 2023 | 36* | 2023 |
| STUNT: Few-shot tabular learning with self-generated tasks from unlabeled tables J Nam, J Tack, K Lee, H Lee, J Shin arXiv preprint arXiv:2303.00918, 2023 | 34 | 2023 |
| Rényicl: Contrastive representation learning with skew rényi divergence K Lee, J Shin Advances in Neural Information Processing Systems 35, 6463-6477, 2022 | 21 | 2022 |
| Synthesizing differentially private datasets using random mixing K Lee, H Kim, K Lee, C Suh, K Ramchandran 2019 IEEE International Symposium on Information Theory (ISIT), 542-546, 2019 | 21 | 2019 |
| S-clip: Semi-supervised vision-language learning using few specialist captions S Mo, M Kim, K Lee, J Shin Advances in Neural Information Processing Systems 36, 61187-61212, 2023 | 17* | 2023 |
| Dreamflow: High-quality text-to-3d generation by approximating probability flow K Lee, K Sohn, J Shin arXiv preprint arXiv:2403.14966, 2024 | 13 | 2024 |
| Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models K Lee, S Kwak, K Sohn, J Shin Advances in Neural Information Processing Systems 37, 103269-103304, 2025 | 11* | 2025 |
| Provable Defense by Denoised Smoothing with Learned Score function K Lee ICLR 2021 Workshop Security and Safety in Machine Learning Systems, 2021 | 11 | 2021 |
| Adversarial training on joint energy based model for robust classification and out-of-distribution detection K Lee, H Yang, SY Oh 2020 20th International Conference on Control, Automation and Systems (ICCAS …, 2020 | 11 | 2020 |
| Prototypical contrastive predictive coding K Lee International Conference on Learning Representations, 2022 | 9 | 2022 |
| Pseudo-spherical Knowledge Distillation K Lee, H Lee IJCAI-ECAI 2022, 2022 | 5 | 2022 |
| Sgd on random mixtures: Private machine learning under data breach threats K Lee, K Lee, H Kim, C Suh, K Ramchandran | 4 | 2018 |
| Fine-tuning protein language models by ranking protein fitness M Lee, K Lee, J Shin NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023 | 3 | 2023 |
| GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real Generalization G Nam, G Choi, K Lee European Conference on Computer Vision, 656-672, 2022 | 3 | 2022 |
| DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing JS Choi, K Lee, J Jeong, S Xie, J Shin, K Lee arXiv preprint arXiv:2410.05694, 2024 | 1 | 2024 |
| Slimmed asymmetrical contrastive learning and cross distillation for lightweight model training J Meng, L Yang, K Lee, J Shin, D Fan, J Seo Advances in Neural Information Processing Systems 36, 42174-42190, 2023 | 1 | 2023 |
| Calibrated Multi-Preference Optimization for Aligning Diffusion Models K Lee, X Li, Q Wang, J He, J Ke, MH Yang, I Essa, J Shin, F Yang, Y Li arXiv preprint arXiv:2502.02588, 2025 | | 2025 |
Jinwoo ShinICT Endowed Chair ProfessorПідтверджена електронна адреса в kaist.ac.kr