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Contrastive Code Representation Learning

parasj.github.io · 719 words · saved by 1 readers

Jain et al., Contrastive Code Representation Learning, 2020. For many machine-aided programming tasks, programs with the same functionality should have the same underlying representation. ContraCode learns such representations with contrastive learning: the network is trained to find equivalent programs among many distractors.

Contrastive Code Representation Learning Contrastive Code Representation Learning Paras Jain* UC Berkeley Ajay Jain* UC Berkeley Tianjun Zhang UC Berkeley Pieter Abbeel UC Berkeley Joseph Gonzalez UC Berkeley Ion Stoica UC Berkeley Paper (arXiv) GitHub For many machine-aided programming tasks, programs with the same functionality should have the same underlying representation . ContraCode learns such representations with contrastive learning: the network is trained to find equivalent programs among many distractors. Summary Developer tools increasingly use machine learning to understand and mo

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