Non-parametric deep learning with applications in active learning

Non-parametric deep learning with applications in active learning

<p>We challenge a common assumption underlying most supervised <i>deep learning</i>: that a model makes a prediction depending only on its parameters and the features of a <i>single input</i>. To this end, we introduce a general-purpose deep learning architecture---<...

Szczegółowa specyfikacja

Opis bibliograficzny
1. autor:	Band, N
Kolejni autorzy:	Kalaitzis, A
Format:	Praca dyplomowa
Język:	English
Wydane:	2022
Hasła przedmiotowe:	Machine learning Natural language processing (Computer science) Deep learning (Machine learning)

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