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Hankook Lee
Hankook Lee
PhD Student, KAIST EE
kaist.ac.kr의 이메일 확인됨 - 홈페이지
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Self-supervised Label Augmentation via Input Transformations
H Lee, SJ Hwang, J Shin
International Conference on Machine Learning, 2020
119*2020
Learning What and Where to Transfer
Y Jang*, H Lee*, SJ Hwang, J Shin
International Conference on Machine Learning, 2019
1002019
Guiding deep molecular optimization with genetic exploration
S Ahn, J Kim, H Lee, J Shin
Advances in neural information processing systems 33, 12008-12021, 2020
362020
Anytime Neural Prediction via Slicing Networks Vertically
H Lee, J Shin
arXiv preprint arXiv:1807.02609, 2018
152018
GTA: Graph Truncated Attention for Retrosynthesis
SW Seo, YY Song, JY Yang, S Bae, H Lee, J Shin, SJ Hwang, E Yang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 531-539, 2021
122021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
H Lee, K Lee, K Lee, H Lee, J Shin
Advances in Neural Information Processing Systems 34, 2021
82021
Self-improved retrosynthetic planning
J Kim, S Ahn, H Lee, J Shin
International Conference on Machine Learning, 5486-5495, 2021
72021
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning
H Lee, S Ahn, SW Seo, YY Song, E Yang, SJ Hwang, J Shin
arXiv preprint arXiv:2105.00795, 2021
52021
Patch-Level Representation Learning for Self-Supervised Vision Transformers
S Yun, H Lee, J Kim, J Shin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
32022
Meta-Learning with Self-Improving Momentum Target
J Tack, J Park, H Lee, J Lee, J Shin
arXiv preprint arXiv:2210.05185, 2022
2022
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
J Nam, J Tack, K Lee, H Lee, J Shin
NeurIPS 2022 First Table Representation Workshop, 0
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학술자료 1–11