Construct · 1 fields · 1 citations

long-tail memorization: a standalone construct

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long-tailmemorization1 CONSTRUCTLong-tail memorizationFELDMAN · COMPUTATIONAL

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Computational learning theory

the argument that memorizing rare or atypical training examples is necessary for near-optimal accuracy when data follow a long-tailed distribution.

In computational learning theory, long-tail memorization refers to the argument that memorizing rare or atypical training examples is necessary for near-optimal accuracy when data follow a long-tailed distribution. This meaning comes from Feldman (2020) in Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing.[1]

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Nearby constructs

accuracy3 fields · 6 citationsjingle · one word, three constructsargument3 fields · 3 citationsjingle · one word, three constructsdistribution2 fields · 2 citationsjingle · one word, two constructs

References

  1. Feldman, V. (2020). Does learning require memorization? a short tale about a long tail. Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing. https://doi.org/10.1145/3357713.3384290

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