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"Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In ..."

Anthony Sicilia et al. (2021)

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DOI: 10.1109/ISBI48211.2021.9433977

access: closed

type: Conference or Workshop Paper

metadata version: 2022-04-09

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  - conf/isbi/SiciliaZMOAKTH21
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  - https://dblp.org/rec/conf/isbi/SiciliaZMOAKTH21
Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang:
Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning. ISBI 2021: 650-654

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