What are the applications of zero-shot learning?
Zero-shot learning (ZSL) is used in various fields like image classification, natural language processing, and more.
Can you give me an example of zero-shot learning in image classification?
Sure! In image classification, ZSL can identify objects it has never seen before by leveraging semantic information.
How does zero-shot learning differ from traditional machine learning?
Unlike traditional ML, which requires labeled data for every class, ZSL can generalize to unseen classes using knowledge transfer.
What are the challenges faced in implementing zero-shot learning?
Challenges include the need for rich semantic representations and the difficulty in ensuring accurate generalization.
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