2 citations · 3 across the 4 of their papers we have counts for
4 papers
Improving Heterogeneous Model Reuse by Density Estimation
Anke Tang, Yong Luo, Han Hu +5
This paper studies multiparty learning, aiming to learn a model using the private data of different participants. Model reuse is a promising solution for multiparty learning, assum…
Time Associated Meta Learning for Clinical Prediction
Hao Liu, Muhan Zhang, Zehao Dong +5
Rich Electronic Health Records (EHR), have created opportunities to improve clinical processes using machine learning methods. Prediction of the same patient events at different ti…
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks
Lecheng Kong, Christopher King, Bradley Fritz +1
Learning to represent free text is a core task in many clinical machine learning (ML) applications, as clinical text contains observations and plans not otherwise available for inf…
On Transforming Reinforcement Learning by Transformer: The Development Trajectory
Shengchao Hu, Li Shen, Ya Zhang +2
Transformer, originally devised for natural language processing, has also attested significant success in computer vision. Thanks to its super expressive power, researchers are inv…