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Code retrieval is a common practice for programmers to reuse existing code snippets in open-source repositories.
Codesearchnet challenge: Evaluating the state of semantic code search
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Retrieval on source code: a neural code search, in: Gottschlich, J., Cheung, A. (Eds.), Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, MAPL@PLDI 2018, Philadelphia, PA, USA, June 18-22, 2018, ACM. pp. 31–41
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Sampling code clones from program dependence graphs with GRAPLE, in: Proceedings of the 2nd International Workshop on Software Analytics, SWAN@SIGSOFT FSE 2016, Seattle, WA, USA, November 13, 2016, pp. 47–53
Henderson, T.A.D., Podgurski, A., 2016 · 2016
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Summarizing source code using a neural attention model, in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers, The Association for Computer Linguistics
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A structured self-attentive sentence embedding, in: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, OpenReview.net
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Allamanis, M., Brockschmidt, M., Khademi, M., 2018 · 2018
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Cambronero, J., Li, H., Kim, S., Sen, K., Chandra, S., 2019 · 2019
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Neural query expansion for code search, in: Mattson, T., Muzahid, A., Solar-Lezama, A. (Eds.), Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, MAPL@PLDI 2019, Phoenix, AZ, USA, June 22, 2019, ACM. pp. 29–37
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Multi-modal attention network learning for semantic source code retrieval, in: 34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019, San Diego, CA, USA, November 11-15, 2019, IEEE. pp. 13–25
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Coacor: Code annotation for code retrieval with reinforcement learning, in: Liu, L., White, R.W., Mantrach, A., Silvestri, F., McAuley, J.J., Baeza-Yates, R., Zia, L. (Eds.), The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, ACM. pp. 2203–2214
Yao, Z., Peddamail, J.R., Sun, H., 2019 · 2019
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A novel neural source code representation based on abstract syntax tree, in: Atlee, J.M., Bultan, T., Whittle, J. (Eds.), Proceedings of the 41st International Conference on Software Engineering, ICSE 2019, Montreal, QC, Canada, May 25-31, 2019, IEEE / ACM. pp. 783–794
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Fast haar transforms for graph neural networks
Li, M., Ma, Z., Wang, Y.G., Zhuang, X., 2020 · 2020
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Pypl popularity of programming language
pypl, 2020 · 2020
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Haar graph pooling, in: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, PMLR. pp. 9952–9962
Wang, Y., Li, M., Ma, Z., Montúfar, G., Zhuang, X., Fan, Y., 2020 · 2020
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