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08/15/2022
A Library for Representing Python Programs as Graphs for Machine Learning
Graph representations of programs are commonly a central element of mach...
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07/21/2022
Language Model Cascades
Prompted models have demonstrated impressive few-shot learning abilities...
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03/07/2022
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
The execution behavior of a program often depends on external resources,...
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11/30/2021
Show Your Work: Scratchpads for Intermediate Computation with Language Models
Large pre-trained language models perform remarkably well on tasks that ...
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10/23/2020
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
Graph neural networks (GNNs) have emerged as a powerful tool for learnin...
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07/28/2020
BUSTLE: Bottom-up program-Synthesis Through Learning-guided Exploration
Program synthesis is challenging largely because of the difficulty of se...
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03/19/2020
TF-Coder: Program Synthesis for Tensor Manipulations
The success and popularity of deep learning is on the rise, partially du...
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02/21/2020
Incremental Sampling Without Replacement for Sequence Models
Sampling is a fundamental technique, and sampling without replacement is...
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04/04/2019
Neural Networks for Modeling Source Code Edits
Programming languages are emerging as a challenging and interesting doma...
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04/03/2019
Neural Program Repair by Jointly Learning to Localize and Repair
Due to its potential to improve programmer productivity and software qua...
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05/19/2017