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bitL on Aug 3, 2019 | parent | context | favorite | on: N-Shot Learning: Learning More with Less Data

How does this differ from active learning? When would you use which in case you don't have sufficiently large training dataset? Would you combine both approaches? If so, how?

inimino on Aug 3, 2019 [–]

To combine few-shot learning with active learning you can

- use active learning to expand the training set, and

- revise your model training procedure to account for the sampling bias this introduces in the training set.

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