Few-shot Text Classification with Distributional Signatures

ICLR 2020 Yujia BaoMenghua WuShiyu ChangRegina Barzilay

In this paper, we explore meta-learning for few-shot text classification. Meta-learning has shown strong performance in computer vision, where low-level patterns are transferable across learning tasks... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.