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A Survey of Machine Learning for Big Code and Naturalness.

, , , и . ACM Comput. Surv., 51 (4): 81:1-81:37 (2018)

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William Banks Sutton

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Charles Bannerman

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Charles Horowitz

 

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Language Model Cascades, , , , , , , , , и 2 other автор(ы). (2022)cite arxiv:2207.10342Comment: Presented as spotlight at the Beyond Bases workshop at ICML 2022 (https://beyond-bayes.github.io).Interpreting Deep Classifier by Visual Distillation of Dark Knowledge., , , и . CoRR, (2018)Ratio Matching MMD Nets: Low dimensional projections for effective deep generative models., , , и . CoRR, (2018)Sequence-to-point learning with neural networks for nonintrusive load monitoring., , , , и . CoRR, (2016)Probabilistic Inference in Queueing Networks., и . SysML, USENIX Association, (2008)Inference and Learning in Networks of Queues., и . AISTATS, том 9 из JMLR Proceedings, стр. 796-803. JMLR.org, (2010)Autoencoding Variational Inference For Topic Models., и . ICLR (Poster), OpenReview.net, (2017)Programming with "Big Code" (Dagstuhl Seminar 15472)., , и . Dagstuhl Reports, 5 (11): 90-102 (2015)Language Model Cascades., , , , , , , , , и 2 other автор(ы). CoRR, (2022)A Library for Representing Python Programs as Graphs for Machine Learning., , , , , , и . CoRR, (2022)