Sangchul Hahn

According to our database, Sangchul Hahn authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification.

Joohyung Lee, Heejeong Nam, Kwanhyung Lee, Sangchul Hahn

CoRR, 2024

2023

Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution.

Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Learning Missing Modal Electronic Health Records with Unified Multi-modal Data Embedding and Modality-Aware Attention.

Kwanhyung Lee, Soojeong Lee, Sangchul Hahn, Heejung Hyun, Edward Choi, Byungeun Ahn, Joohyung Lee

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

Self-supervised predictive coding and multimodal fusion advance patient deterioration prediction in fine-grained time resolution.

Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee

CoRR, 2022

2020

Understanding dropout as an optimization trick.

Sangchul Hahn, Heeyoul Choi

Neurocomputing, 2020

2019

Self-Knowledge Distillation in Natural Language Processing.

Sangchul Hahn, Heeyoul Choi

Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Disentangling Latent Factors of Variational Auto-encoder with Whitening.

Sangchul Hahn, Heeyoul Choi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

2018

Disentangling Latent Factors with Whitening.

Sangchul Hahn, Heeyoul Choi

CoRR, 2018

Gradient Acceleration in Activation Functions.

Sangchul Hahn, Heeyoul Choi

CoRR, 2018