Deep learning in electron microscopy
JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …
microscopy. This review paper offers a practical perspective aimed at developers with …
Machine/deep learning for software engineering: A systematic literature review
Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …
Productivity assessment of neural code completion
A Ziegler, E Kalliamvakou, XA Li, A Rice… - Proceedings of the 6th …, 2022 - dl.acm.org
Neural code synthesis has reached a point where snippet generation is accurate enough to
be considered for integration into human software development workflows. Commercial …
be considered for integration into human software development workflows. Commercial …
Repocoder: Repository-level code completion through iterative retrieval and generation
The task of repository-level code completion is to continue writing the unfinished code based
on a broader context of the repository. While for automated code completion tools, it is …
on a broader context of the repository. While for automated code completion tools, it is …
Wilds: A benchmark of in-the-wild distribution shifts
Distribution shifts—where the training distribution differs from the test distribution—can
substantially degrade the accuracy of machine learning (ML) systems deployed in the wild …
substantially degrade the accuracy of machine learning (ML) systems deployed in the wild …
Reading between the lines: Modeling user behavior and costs in AI-assisted programming
Code-recommendation systems, such as Copilot and CodeWhisperer, have the potential to
improve programmer productivity by suggesting and auto-completing code. However, to fully …
improve programmer productivity by suggesting and auto-completing code. However, to fully …
On the robustness of code generation techniques: An empirical study on github copilot
A Mastropaolo, L Pascarella… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Software engineering research has always being concerned with the improvement of code
completion approaches, which suggest the next tokens a developer will likely type while …
completion approaches, which suggest the next tokens a developer will likely type while …
Big code!= big vocabulary: Open-vocabulary models for source code
Statistical language modeling techniques have successfully been applied to large source
code corpora, yielding a variety of new software development tools, such as tools for code …
code corpora, yielding a variety of new software development tools, such as tools for code …
Codefill: Multi-token code completion by jointly learning from structure and naming sequences
Code completion is an essential feature of IDEs, yet current auto-completers are restricted to
either grammar-based or NLP-based single token completions. Both approaches have …
either grammar-based or NLP-based single token completions. Both approaches have …
Code prediction by feeding trees to transformers
Code prediction, more specifically autocomplete, has become an essential feature in
modern IDEs. Autocomplete is more effective when the desired next token is at (or close to) …
modern IDEs. Autocomplete is more effective when the desired next token is at (or close to) …