TRANSFER LEARNING: LEVERAGING PRE-TRAINED MODELS FOR LIMITED DATASETS THROUGH FINE-TUNING
This article explores the effectiveness of transfer learning and fine-tuning techniques in addressing the challenges of training deep learning models with limited computational resources and datasets. It investigates various approaches to leveraging pre-trained models across domains, focusing on natural language processing andTransfer Learning: Leveraging Pre-Trained Models for Limited Datasets Through Fine-Tuning https://iaeme.com/Home/journal/IJITMIS565
Authors
- Siddhant Sonkar (ORCID: https://orcid.org/0000-0001-5931-0183)
Institutions
- University of California, Irvine (US)
Publication Details
- Journal
- INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND MANAGEMENT INFORMATION SYSTEMS
- Published
- 2025-03-07
- DOI
- https://doi.org/10.34218/ijitmis_16_02_037
- Citations
- 1
- Primary Topic
- Domain Adaptation and Few-Shot Learning
- Type
- article
- Field-Weighted Citation Impact
- 2.48