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08/10/2018
Relational dynamic memory networks
Working memory is an essential component of reasoning -- the capacity to...
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02/03/2018
A deep tree-based model for software defect prediction
Defects are common in software systems and can potentially cause various...
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01/08/2018
Graph Memory Networks for Molecular Activity Prediction
Molecular activity prediction is critical in drug design. Machine learni...
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08/14/2017
Graph Classification via Deep Learning with Virtual Nodes
Learning representation for graph classification turns a variable-size g...
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08/08/2017
Automatic feature learning for vulnerability prediction
Code flaws or vulnerabilities are prevalent in software systems and can ...
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02/22/2017
One Size Fits Many: Column Bundle for Multi-X Learning
Much recent machine learning research has been directed towards leveragi...
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09/15/2016
Column Networks for Collective Classification
Relational learning deals with data that are characterized by relational...
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09/02/2016
A deep learning model for estimating story points
Although there has been substantial research in software analytics for e...
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08/11/2016
Faster Training of Very Deep Networks Via p-Norm Gates
A major contributing factor to the recent advances in deep neural networ...
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08/09/2016
A deep language model for software code
Existing language models such as n-grams for software code often fail to...
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02/01/2016
