Synthetic Meta-Learning: : Learning to learn real-world tasks with synthetic data
Meta-learning is an approach to machine learning that teaches models how to learn new tasks with only a handful of examples. However, meta-learning requires a large labeled dataset during its initial meta-learning phase, which restricts what domains meta-learning can be used in. This thesis investig...
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Format: | Others |
Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264919 |