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Sangchul Hahn
Sangchul Hahn
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Self-Knowledge Distillation in Natural Language Processing
S Hahn, H Choi
arXiv preprint arXiv:1908.01851, 2019
972019
Understanding dropout as an optimization trick
S Hahn, H Choi
Neurocomputing 398, 64-70, 2020
362020
Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study
MD Sung, S Hahn, CH Han, JM Lee, J Lee, J Yoo, J Heo, YS Kim, ...
JMIR Medical Informatics 9 (11), e26426, 2021
92021
Disentangling latent factors of variational auto-encoder with whitening
S Hahn, H Choi
Artificial Neural Networks and Machine Learning–ICANN 2019: Image Processing …, 2019
92019
Gradient acceleration in activation functions
S Hahn, H Choi
52018
Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention
K Lee, S Lee, S Hahn, H Hyun, E Choi, B Ahn, J Lee
Machine Learning for Healthcare Conference, 423-442, 2023
22023
Application of Improved Variational Recurrent Auto-Encoder for Korean Sentence Generation
S Hahn, S Hong, H Choi
정보과학회논문지 45 (2), 157-164, 2018
22018
Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution
K Lee, J Won, H Hyun, S Hahn, E Choi, J Lee
arXiv preprint arXiv:2210.16598, 2022
12022
한국어 문장 생성을 위한 Variational Recurrent Auto-Encoder 개선 및 활용
한상철, 홍석진, 최희열
Journal of KIISE 45 (2), 157-164, 2018
12018
Disentangling latent factors with whitening
S Hahn, H Choi
arXiv preprint arXiv:1811.03444 2, 2018
12018
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification
J Lee, H Nam, K Lee, S Hahn
arXiv preprint arXiv:2402.10595, 2024
2024
Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution
K Lee, J Won, H Hyun, S Hahn, E Choi, J Lee
ICLR 2023 Workshop on Trustworthy Machine Learning for Healthcare, 2023
2023
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학술자료 1–12