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"When does MAML Work the Best? An Empirical Study on Model-Agnostic ..."

Zequn Liu et al. (2020)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2020-06-14

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2005-11700
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2005-11700
Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang:
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications. CoRR abs/2005.11700 (2020)

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