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Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
[article]
2019
arXiv
pre-print
Preserved Fulltext
termed Regularize, Expand and Compress (REC). ...
To solve the above issues, inspired by the recent breakthroughs in automatically learning good neural network architectures, we develop a Multi-task based lifelong learning via nonexpansive AutoML framework ...
In this paper, we propose a Multi-task based lifelong learning via nonexpansive AutoML framework termed Regularize, Expand and Compress (REC), to continually and automatically learn on such sequential ...
arXiv:1903.08362v1
fatcat:2f4trwk3mrhpjiy3rybtlosrze