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pro vyhledávání: '"Mike Huisman"'
Publikováno v:
Machine Learning. 111:3227-3244
Meta-learning can be used to learn a good prior that facilitates quick learning; two popular approaches are MAML and the meta-learner LSTM. These two methods represent important and different approaches in meta-learning. In this work, we study the tw
Publikováno v:
Artificial Intelligence Review, 54(6), 4483-4541
ARTIFICIAL INTELLIGENCE REVIEW, 54(6), 4483-4541. SPRINGER
ARTIFICIAL INTELLIGENCE REVIEW, 54(6), 4483-4541. SPRINGER
Deep neural networks can achieve great successes when presented with large data sets and sufficient computational resources. However, their ability to learn new concepts quickly is limited. Meta-learning is one approach to address this issue, by enab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab8a76fe10773b9b7006cbc11189a8a
http://arxiv.org/abs/2010.03522
http://arxiv.org/abs/2010.03522