Efficient meta learning via minibatch proximal update
We address the problem of meta-learning which learns a prior over hypothesis from a sample of meta-training tasks for fast adaptation on meta-testing tasks. A particularly simple yet successful paradigm for this research is model-agnostic meta-learning (MAML). Implementation and analysis of MAML, ho...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2019
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8995 https://ink.library.smu.edu.sg/context/sis_research/article/9998/viewcontent/2019_NeurIPS_efficient_meta_learning.pdf |
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| Institution: | Singapore Management University |
| Language: | English |