Kyungmin Lee
Kyungmin Lee
Verifierad e-postadress på kaist.ac.kr - Startsida
Citeras av
Citeras av
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
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
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
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
Rényicl: Contrastive representation learning with skew rényi divergence
K Lee, J Shin
Advances in Neural Information Processing Systems 35, 6463-6477, 2022
Provable Defense by Denoised Smoothing with Learned Score function
K Lee
ICLR 2021 Workshop Security and Safety in Machine Learning Systems, 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
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, 2024
Prototypical contrastive predictive coding
K Lee
International Conference on Learning Representations, 2022
Dreamflow: High-quality text-to-3d generation by approximating probability flow
K Lee, K Sohn, J Shin
arXiv preprint arXiv:2403.14966, 2024
Pseudo-spherical Knowledge Distillation
K Lee, H Lee
IJCAI-ECAI 2022, 2022
Direct consistency optimization for compositional text-to-image personalization
K Lee, S Kwak, K Sohn, J Shin
arXiv preprint arXiv:2402.12004, 2024
SGD on Random Mixtures: Private Machine Learning under Data Breach Threats
K Lee, K Lee, H Kim, C Suh, K Ramchandran
Improving diffusion models for virtual try-on
Y Choi, S Kwak, K Lee, H Choi, J Shin
arXiv preprint arXiv:2403.05139, 2024
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
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
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–16