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Multimodal AutoML via Representation Evolution

With the increasing amounts of available data, learning simultaneously from different types of inputs is becoming necessary to obtain robust and well-performing models. With the advent of representation learning in recent years, lower-dimensional vector-based representations have become available fo...

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Autores principales: Blaž Škrlj, Matej Bevec, Nada Lavrač
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2022-12-01
Colección:Machine Learning and Knowledge Extraction
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Acceso en línea:https://www.mdpi.com/2504-4990/5/1/1
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