Search Results for author: Jeremy Lacomis

Found 2 papers, 1 papers with code

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

1 code implementation • 5 Dec 2021 • Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues

Machine learning-based program analysis methods use variable name representations for a wide range of tasks, such as suggesting new variable names and bug detection.

Contrastive Learning Learning Semantic Representations +1

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Learning to Superoptimize Real-world Programs

no code implementations • 28 Sep 2021 • Alex Shypula, Pengcheng Yin, Jeremy Lacomis, Claire Le Goues, Edward Schwartz, Graham Neubig

We also report that SILO's rate of superoptimization on our test set is over five times that of a standard policy gradient approach and a model pre-trained on compiler optimization demonstration.

Compiler Optimization Imitation Learning

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