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Results tagged with transfer-learning
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user 38174
For questions related to transfer learning, a machine learning method that focuses on storing knowledge gained while solving one problem in order to apply this knowledge to a different but related problem.
1
vote
What are the differences between transfer learning and meta learning?
The way nbro describes meta-learning, it sounds identical to hyper-parameter optimization. Here I would like to clarify possible differences:
According to Dataset2Vec: learning dataset meta-features
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- 163
3
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1
answer
354
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Does self-supervised learning require auxiliary tasks?
Self-supervised learning algorithms provide labels automatically. But, it is not clear what else is required for an algorithm to fall under the category "self-supervised":
Some say, self-supervised le …
- 163