| 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 | 25* | 2023 |
| Explaining visual biases as words by generating captions Y Kim, S Mo, M Kim, K Lee, J Lee, J Shin arXiv preprint arXiv:2301.11104 2 (7), 19, 2023 | 21* | 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 | 20 | 2023 |
| 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 | 18 | 2019 |
| Rényicl: Contrastive representation learning with skew rényi divergence K Lee, J Shin Advances in Neural Information Processing Systems 35, 6463-6477, 2022 | 16 | 2022 |
| Provable Defense by Denoised Smoothing with Learned Score function K Lee ICLR 2021 Workshop Security and Safety in Machine Learning Systems, 2021 | 10 | 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 | 10 | 2020 |
| 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 | 8* | 2023 |
| Dreamflow: High-quality text-to-3d generation by approximating probability flow K Lee, K Sohn, J Shin arXiv preprint arXiv:2403.14966, 2024 | 6 | 2024 |
| Prototypical contrastive predictive coding K Lee International Conference on Learning Representations, 2022 | 6 | 2022 |
| Improving diffusion models for virtual try-on Y Choi, S Kwak, K Lee, H Choi, J Shin arXiv preprint arXiv:2403.05139, 2024 | 4 | 2024 |
| Direct consistency optimization for compositional text-to-image personalization K Lee, S Kwak, K Sohn, J Shin arXiv preprint arXiv:2402.12004, 2024 | 4 | 2024 |
| Pseudo-spherical Knowledge Distillation K Lee, H Lee IJCAI-ECAI 2022, 2022 | 4 | 2022 |
| SGD on Random Mixtures: Private Machine Learning under Data Breach Threats K Lee, K Lee, H Kim, C Suh, K Ramchandran | 3 | 2018 |
| 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 | 2 | 2022 |
| 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, 2024 | | 2024 |
Jinwoo ShinKAIST Endowed Chair ProfessorVerified email at kaist.ac.kr
