zero-shot learning
名词 n.
英文释义
名词 n.
- A problem setup in machine learning, where, at test time, a learner observes samples from classes that were not observed during training and attempts to predict the class that they belong to, typically based on auxiliary information.
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数据来源: Wiktionary