Cross-Domain Text Classification: Transfer Learning Approaches-Reference-Cited by-同舟云学术

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Cross-Domain Text Classification: Transfer Learning Approaches

Published:2024-03-05 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Emerging Smart Computing and Informatics (ESCI)
language:
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Author:

Asha H. Jimsy¹,G Benitta.¹,Josephine J. Alisha²

Affiliation:

1. Holy Cross College (Autonomous), Nagercoil-4, Affiliated to Manonmaniam, Sundaranar University,PG & Research Department of English,Tirunelveli,Tamilnadu,India

2. Sundaranar University,Holy Cross College (Autonomous), Nagercoil-4, Affiliated to Manonmaniam,Department of English,Tirunelveli,Tamilnadu,India,627012

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10497186/10497189/10497318.pdf?arnumber=10497318

Reference17 articles.

1. Cross-Domain Sentiment Analysis Based on Small in-Domain Fine-Tuning

2. Multi-Modal Domain Generalization for Cross-Scene Hyperspectral Image Classification

3. Cross-Domain Image Captioning with Discriminative Finetuning

4. Cross-Domain Labeled LDA for Cross-Domain Text Classification

5. SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

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