MULTI-DOMAIN LEARNING BY META-LEARNING: TAKING OPTIMAL STEPS IN MULTI-DOMAIN LOSS LANDSCAPES BY INNER-LOOP LEARNING.

Sicilia, Anthony; Zhao, Xingchen; Minhas, Davneet S; O'Connor, Erin E; Aizenstein, Howard J; Klunk, William E; Tudorascu, Dana L; Hwang, Seong Jae

Sicilia, Anthony; Zhao, Xingchen; Minhas, Davneet S; O'Connor, Erin E; Aizenstein, Howard J; Klunk, William E; Tudorascu, Dana L; Hwang, Seong Jae.

Afiliación

Sicilia A; Intelligent Systems Program - University of Pittsburgh.
Zhao X; Department of Computer Science, University of Pittsburgh.
Minhas DS; Department of Radiology, University of Pittsburgh.
O'Connor EE; Department of Diagnostic Radiology & Nuclear Medicine - University of Maryland, Baltimore.
Aizenstein HJ; Department of Psychiatry - University of Pittsburgh.
Klunk WE; Department of Psychiatry - University of Pittsburgh.
Tudorascu DL; Department of Psychiatry - University of Pittsburgh.
Hwang SJ; Intelligent Systems Program - University of Pittsburgh.

Proc IEEE Int Symp Biomed Imaging ; 2021: 650-654, 2021 Apr.

Article en En | MEDLINE | ID: mdl-34909112

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Proc IEEE Int Symp Biomed Imaging Año: 2021 Tipo del documento: Article