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...
| 格式: | Article |
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| 語言: | English |
| 出版: |
IEEE
2021
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| 在線閱讀: | https://hdl.handle.net/1721.1/137178 |