Generative-based hybrid model with semantic representations for generalized zero-shot learning

Emre Akdemir; Necaattin Barışçı

doi:10.1007/s11760-024-03734-9

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Generative-based hybrid model with semantic representations for generalized zero-shot learning

Emre Akdemir Necaattin Barışçı

Year: 2024 Journal: Signal Image and Video Processing Vol: 19 (1) Publisher: Springer Science+Business Media

DOI: 10.1007/s11760-024-03734-9

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Keywords:

Zero (linguistics) Generative model Generative grammar Artificial intelligence Computer science Zero temperature Pattern recognition (psychology) Mathematics Natural language processing Physics Linguistics Quantum mechanics Philosophy

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Geophysical Methods and Applications

Physical Sciences → Engineering → Ocean Engineering

Generative-based hybrid model with semantic representations for generalized zero-shot learning

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