Learning from Limited Data: Innovation in Few-Shot and Zero-Shot Model Design
Keywords:
Few-shot learning, zero-shot learning, meta-learning, transfer learning, artificial intelligenceAbstract
The paradigm of learning from limited data has emerged as a transformative force in artificialintelligence, fundamentally reshaping how machine learning systems acquire knowledge and adapt to new tasks. Few-shot and zero-shot
References
Jia Deng, et al., "ImageNet: A large-scale hierarchical image database," IEEE Xplore. 2009,. [Online]. Available: https://ieeexplore.ieee.org/document/5206848
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Published
2025-11-27
How to Cite
Sarvendra Aeturu. (2025). Learning from Limited Data: Innovation in Few-Shot and Zero-Shot Model Design . Journal of Computational Analysis and Applications (JoCAAA), 34(11), 752–765. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4250
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