124 citations · 504 across the 13 of their papers we have counts for
4 papers · 1 filter
code2seq: Generating Sequences from Structured Representations of Code
Uri Alon, Shaked Brody, Omer Levy +1
The ability to generate natural language sequences from source code snippets has a variety of applications such as code summarization, documentation, and retrieval. Sequence-to-seq…
On the Practical Computational Power of Finite Precision RNNs for Language Recognition
Gail Weiss, Yoav Goldberg, Eran Yahav
While Recurrent Neural Networks (RNNs) are famously known to be Turing complete, this relies on infinite precision in the states and unbounded computation time. We consider the cas…
A General Path-Based Representation for Predicting Program Properties
Uri Alon, Meital Zilberstein, Omer Levy +1
Predicting program properties such as names or expression types has a wide range of applications. It can ease the task of programming and increase programmer productivity. A major…
code2vec: Learning Distributed Representations of Code
Uri Alon, Meital Zilberstein, Omer Levy +1
We present a neural model for representing snippets of code as continuous distributed vectors ("code embeddings"). The main idea is to represent a code snippet as a single fixed-le…