Compositional Generative Modeling: A Single Model is Not All You Need

Large monolithic generative models trained on massive amounts of data have become an increasingly dominant approach in AI research. In this paper, we argue that we should instead construct large generative systems by composing smaller generative models together. We show how such a compositional gene...

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Bibliographische Detailangaben

Hauptverfasser:	Du, Yilun, Kaelbling, Leslie
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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