When in Doubt: Improving Classification Performance with Alternating Normalization-Reference-Cited by-同舟云学术

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When in Doubt: Improving Classification Performance with Alternating Normalization

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Findings of the Association for Computational Linguistics: EMNLP 2021
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Author:

Jia Menglin,Reiter Austin,Lim Ser-Nam,Artzi Yoav,Cardie Claire

Publisher

Association for Computational Linguistics

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mining Oriented Information for Semi-Supervised Object Detection in Remote Sensing Images;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. LCPCWSC: a Web service classification approach based on label confusion and priori correction;International Journal of Web Information Systems;2024-02-06

3. BioPRO: Context-Infused Prompt Learning for Biomedical Entity Linking;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Addressing Sample Inconsistency for Semisupervised Object Detection in Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Systematic Literature Review Langchain Proposed;2023 International Electronics Symposium (IES);2023-08-08

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