Meta-Sim: Learning to Generate Synthetic Datasets

© 2019 IEEE. Training models to high-end performance requires availability of large labeled datasets, which are expensive to get. The goal of our work is to automatically synthesize labeled datasets that are relevant for a downstream task. We propose Meta-Sim, which learns a generative model of synt...

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Bibliographic Details
Main Authors: Kar, Amlan (Author), Prakash, Aayush (Author), Liu, Ming-Yu (Author), Cameracci, Eric (Author), Yuan, Justin (Author), Rusiniak, Matt (Author), Acuna, David (Author), Torralba, Antonio (Author), Fidler, Sanja (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2022-03-21T14:33:52Z.
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