"Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in ..."

Anthony Sicilia et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-03-02

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2102-13147
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2102-13147
Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard Aizenstein, William E. Klunk, Dana Tudorascu, Seong Jae Hwang:
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning. CoRR abs/2102.13147 (2021)

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