On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code-Reference-Cited by-同舟云学术

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On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code

Published:2023-11-30 Issue: Volume: Page:
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Container-title:Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Author:

Weyssow Martin¹,Zhou Xin²,Kim Kisub²,Lo David²,Sahraoui Houari¹

Affiliation:

1. Université de Montréal, Montreal, Canada

2. Singapore Management University, Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611643.3616244

Reference73 articles.

1. Memory Aware Synapses: Learning What (not) to Forget

2. The adverse effects of code duplication in machine learning models of code

3. Learning Autocompletion from Real-World Datasets

4. A Software-Repair Robot Based on Continual Learning

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1. Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps;2023 IEEE/ACM International Conference on Software Engineering: Future of Software Engineering (ICSE-FoSE);2023-05-14

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