Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations-Reference-Cited by-同舟云学术

Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Bui Nghi D. Q.¹,Yu Yijun¹,Jiang Lingxiao²

Affiliation:

1. Huawei Research Center, Ireland, Dublin, Ireland

2. Singapore Management University, Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462840

Reference78 articles.

1. [n.d.]. Krugle Code Search. https://krugle.com/. Accessed: 2020-09-30. [n.d.]. Krugle Code Search. https://krugle.com/. Accessed: 2020-09-30.

2. Miltiadis Allamanis Marc Brockschmidt and Mahmoud Khademi. 2018. Learning to Represent Programs with Graphs. In ICLR . Miltiadis Allamanis Marc Brockschmidt and Mahmoud Khademi. 2018. Learning to Represent Programs with Graphs. In ICLR .

3. Uri Alon Shaked Brody Omer Levy and Eran Yahav. 2019 a. code2seq: Generating Sequences from Structured Representations of Code. In ICLR . Uri Alon Shaked Brody Omer Levy and Eran Yahav. 2019 a. code2seq: Generating Sequences from Structured Representations of Code. In ICLR .

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