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Resolving Code Review Comments with Machine Learning.

, , , , , , , , , , , , , , , и . ICSE-SEIP, стр. 204-215. ACM, (2024)

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Pierre-Antoine Thouvenin

Pierre-Antoine Jean

Pierre-Antoine Chapelon

Pierre-Antoine Papon

Antoine Derighetti

 

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PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair., , , , , , и . NeurIPS, стр. 23089-23101. (2021)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , и 103 other автор(ы). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.On the interplay between noise and curvature and its effect on optimization and generalization., , , , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3503-3513. PMLR, (2020)Why Does Unsupervised Pre-training Help Deep Learning?, , , , , и . J. Mach. Learn. Res., (2010)Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples., , , , , , , , , и . CoRR, (2019)Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples., , , , , , , , , и 1 other автор(ы). ICLR, OpenReview.net, (2020)Extracting and composing robust features with denoising autoencoders., , , и . ICML, том 307 из ACM International Conference Proceeding Series, стр. 1096-1103. ACM, (2008)Resolving Code Review Comments with Machine Learning., , , , , , , , , и 6 other автор(ы). ICSE-SEIP, стр. 204-215. ACM, (2024)Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples, , , , , , , , , и 1 other автор(ы). (2019)cite arxiv:1903.03096Comment: Code available at https://github.com/google-research/meta-dataset.Reducing the variance in online optimization by transporting past gradients., , , , и . NeurIPS, стр. 5392-5403. (2019)