Here's a reflection on the need to represent code before actually feeding it into neural network...
Here we talk about Code2seq, which differs in adapting neural machine translation techniques to...
Here is a tutorial on the usage of code2vec to predict method names, determine the accuracy of...
Here we discuss code2vec relation with word2vec and autoencoders to grasp better how feasible it...
This post is an overview of word2vec, a method for obtaining vectors that represent natural...
This post is a high-level review of our previous discussion concerning machine learning...
Here is a simple attempt to define a vulnerability classifier using categorical encoding and a...
In this post, we begin to tackle why vectors are the most appropriate representation for data as...
In this blog post, we discuss an article from Boston University that presents new applications...
You'll see how to create images that fool classifiers into thinking they see the wrong object...
Here we'll see how DeepCode works. It has a lot of potential for identifying bugs in your code...
In this blog post, we present the use of Natural Language Processing in bug finding and coding...
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