Diverse Few-Shot Text Classification with Multiple Metrics

NAACL 2018 Mo YuXiaoxiao GuoJinfeng YiShiyu ChangSaloni PotdarYu ChengGerald TesauroHaoyu WangBowen Zhou

We study few-shot learning in natural language domains. Compared to many existing works that apply either metric-based or optimization-based meta-learning to image domain with low inter-task variance, we consider a more realistic setting, where tasks are diverse... (read more)

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