Relational Generalized Few-Shot Learning

Transferring learned models to novel tasks is a challenging problem, particularly if only very few labeled examples are available. Although this few-shot learning setup has received a lot of attention recently, most proposed methods focus on discriminating novel classes only. Instead, we consider th...

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Veröffentlicht in:	arXiv.org 2020-09
Hauptverfasser:	Shi, Xiahan, Salewski, Leonard, Schiegg, Martin, Akata, Zeynep, Welling, Max
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolution Graphical representations Learning
Online-Zugang:	Volltext
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