Construct · 1 fields · 1 citations

few-shot learning: a standalone construct

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Machine learning

learning a task from only a handful of labeled examples by drawing on prior knowledge, framed as a problem of an unreliable empirical risk minimizer.

In machine learning, few-shot learning refers to learning a task from only a handful of labeled examples by drawing on prior knowledge, framed as a problem of an unreliable empirical risk minimizer. This meaning comes from Wang (2020) in ACM Computing Surveys.[1]

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consumer knowledge1 fields · 1 citationsanchor · a standalone construct knowledge6 fields · 12 citationsjingle · one name, six constructs learning6 fields · 14 citationsjingle · one name, six constructs

References

Wang, Y., Yao, Q., Kwok, J. T., & Ni, L. M. (2020). Generalizing from a Few Examples: A Survey on Few-shot Learning. ACM Computing Surveys, 53(3), 1-34. https://doi.org/10.1145/3386252

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