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Found 3 papers, 3 papers with code
Towards Demystifying Dimensions of Source Code Embeddings
A popular approach in representing source code is neural source code embeddings that represents programs with high-dimensional vectors computed by training deep neural networks on a large volume of programs.
COVID-19: Social Media Sentiment Analysis on Reopening
In this paper, we investigate the sentiment and emotion of peoples in the United States on the subject of reopening.
Testing Neural Program Analyzers
Deep neural networks have been increasingly used in software engineering and program analysis tasks.
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