code2vec: Learning Distributed Representations of Code · HackerPapers discussions

code2vec: Learning Distributed Representations of Code — mentioned by nl

Fri, 05 Apr 2019 06:31:16 GMT

I like the README.md for StarSpace[1] because it has lots of examples which get you thinking. I used graph embeddings as input to a classifier to classify people when follower/followee information was easy to gather but text wasn't. Basically anything that can be represented as a graph can be used. There is some interesting work being done using code syntax trees as input which uses a very similar approach. See code2vec[2] I'm not aware of any way to transfer text embeddings into graph emneddings, but you can could concatenate them and use them together (I've done this before) or maybe do…

Paper and discussion history. A mention is not an endorsement.

code2vec: Learning Distributed Representations of Code — mentioned by nl

Tue, 26 Jun 2018 11:24:42 GMT

I've been playing around in this area for a while and I think there is a lot of potential - although I'm not sure code search is the ultimate expression of how this should be used. There's another interesting paper called code2vec[1]. Code2vec uses the AST of a code snippet and builds an embedding of those rather than dealing with is as just a sequence of tokens which some earlier attempts do. This paper does the same, which is nice. Code2vec (at least the demo at [2] which I think is the same thing) is extremely sensitive to variable names. I'm not sure if that is a bug or if they are…

Paper and discussion history. A mention is not an endorsement.