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Using Graph Neural Networks for Mass Spectrometry Prediction
Detecting and quantifying products of cellular metabolism using Mass Spe...
10/09/2020 ∙ by Hao Zhu, et al. ∙
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SecureGBM: Secure Multi-Party Gradient Boosting
Federated machine learning systems have been widely used to facilitate t...
11/27/2019 ∙ by Zhi Fengy, et al. ∙
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Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Federated Learning is a new distributed learning mechanism which allows ...
11/22/2019 ∙ by Shengwen Yang, et al. ∙
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Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems
Question Answering (QA) systems are used to provide proper responses to ...
11/18/2019 ∙ by Qiang Huang, et al. ∙
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DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Transfer learning through fine-tuning a pre-trained neural network with ...
01/26/2019 ∙ by Xingjian Li, et al. ∙
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Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes
Inference for GP models with non-Gaussian noises is computationally expe...
09/08/2018 ∙ by Linfeng Liu, et al. ∙
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A Linear Belief Function Approach to Portfolio Evaluation
By elaborating on the notion of linear belief functions (Dempster 1990; ...
10/19/2012 ∙ by Liping Liu, et al. ∙
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