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06/17/2023
Development of a Deep Learning System for Intra-Operative Identification of Cancer Metastases
For several cancer patients, operative resection with curative intent ca...
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12/03/2022
Interpretable Node Representation with Attribute Decoding
Variational Graph Autoencoders (VGAEs) are powerful models for unsupervi...
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06/23/2022
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
In order for artificial agents to perform useful tasks in changing envir...
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06/11/2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
A graph generative model defines a distribution over graphs. One type of...
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05/31/2021
DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction
Knowledge Graph has been proven effective in modeling structured informa...
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10/09/2020
Using Graph Neural Networks for Mass Spectrometry Prediction
Detecting and quantifying products of cellular metabolism using Mass Spe...
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11/27/2019
SecureGBM: Secure Multi-Party Gradient Boosting
Federated machine learning systems have been widely used to facilitate t...
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11/22/2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Federated Learning is a new distributed learning mechanism which allows ...
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11/18/2019
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems
Question Answering (QA) systems are used to provide proper responses to ...
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01/26/2019
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Transfer learning through fine-tuning a pre-trained neural network with ...
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09/08/2018
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes
Inference for GP models with non-Gaussian noises is computationally expe...
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10/19/2012
