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08/16/2023
Epicure: Distilling Sequence Model Predictions into Patterns
Most machine learning models predict a probability distribution over con...
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12/18/2022
JEMMA: An Extensible Java Dataset for ML4Code Applications
Machine Learning for Source Code (ML4Code) is an active research field i...
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07/25/2022
Overwatch: Learning Patterns in Code Edit Sequences
Integrated Development Environments (IDEs) provide tool support to autom...
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05/23/2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations
In software development, it is common for programmers to copy-paste code...
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05/21/2022
NS3: Neuro-Symbolic Semantic Code Search
Semantic code search is the task of retrieving a code snippet given a te...
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01/28/2022
HEAT: Hyperedge Attention Networks
Learning from structured data is a core machine learning task. Commonly,...
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10/10/2021
CoRGi: Content-Rich Graph Neural Networks with Attention
Graph representations of a target domain often project it to a set of en...
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06/18/2021
Learning to Generate Code Sketches
Traditional generative models are limited to predicting sequences of ter...
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05/26/2021
Self-Supervised Bug Detection and Repair
Machine learning-based program analyses have recently shown the promise ...
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06/08/2020
Copy that! Editing Sequences by Copying Spans
Neural sequence-to-sequence models are finding increasing use in editing...
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04/28/2020
Fast and Memory-Efficient Neural Code Completion
Code completion is one of the most widely used features of modern integr...
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04/06/2020
Typilus: Neural Type Hints
Type inference over partial contexts in dynamically typed languages is c...
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01/08/2020
Learning to Encode and Classify Test Executions
The challenge of automatically determining the correctness of test execu...
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09/20/2019
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Semantic code search is the task of retrieving relevant code given a nat...
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09/19/2019
DIRE: A Neural Approach to Decompiled Identifier Naming
The decompiler is one of the most common tools for examining binaries wi...
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06/26/2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
Program synthesis of general-purpose source code from natural language s...
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12/16/2018
The Adverse Effects of Code Duplication in Machine Learning Models of Code
The field of big code relies on mining large corpora of code to perform ...
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11/05/2018
Structured Neural Summarization
Summarization of long sequences into a concise statement is a core probl...
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10/31/2018
Learning to Represent Edits
We introduce the problem of learning distributed representations of edit...
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09/30/2018
Tree2Tree Neural Translation Model for Learning Source Code Changes
The way developers edit day-to-day code tend to be repetitive and often ...
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05/23/2018
Constrained Graph Variational Autoencoders for Molecule Design
Graphs are ubiquitous data structures for representing interactions betw...
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05/22/2018
Generative Code Modeling with Graphs
Generative models for source code are an interesting structured predicti...
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11/01/2017
Learning to Represent Programs with Graphs
Learning tasks on source code (i.e., formal languages) have been conside...
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09/18/2017
A Survey of Machine Learning for Big Code and Naturalness
Research at the intersection of machine learning, programming languages,...
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11/04/2016
Learning Continuous Semantic Representations of Symbolic Expressions
Combining abstract, symbolic reasoning with continuous neural reasoning ...
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02/09/2016
A Convolutional Attention Network for Extreme Summarization of Source Code
Attention mechanisms in neural networks have proved useful for problems ...
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12/25/2015
