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Recent work learns contextual representations of source code by reconstructing tokens from their context.
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Distributed representations of words and phrases and their compositionality
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Natural language models for predicting programming comments
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Towards a big data curated benchmark of inter-project code clones
Jeffrey Svajlenko, Judith F. Islam, Iman Keivanloo, Chanchal K. Roy, and Mohammad Mamun Mia. 2014 · 2014
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Bidirectional lstm-crf models for sequence tagging
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Neural machine translation of rare words with subword units
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Deep learning code fragments for code clone detection
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A survey of machine learning for big code and naturalness
A theoretical analysis of contrastive unsupervised representation learning
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A transformer-based approach for source code summarization
Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang. 2020 · 2020
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Adversarial robustness for code
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A simple framework for contrastive learning of visual representations
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Taku Kudo. 2018 · 2018
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