Papers by Ajay Jain

1 papers
Contrastive Code Representation Learning (2021.emnlp-main)

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Challenge: Recent work learns contextual representations of source code by reconstructing tokens from their context.
Approach: They propose a contrastive pre-training task that learns code functionality, not form . they propose scalable compilers that can generate variants of a program .
Outcome: The proposed task outperforms RoBERTa on an adversarial code clone detection benchmark by 39% AUROC.

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