Construct · 1 fields · 1 citations

negative transfer: a standalone construct

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Machine learning

the case where using knowledge from a source domain lowers performance on the target task compared with learning the target alone.

In machine learning, negative transfer refers to the case where using knowledge from a source domain lowers performance on the target task compared with learning the target alone. This meaning comes from Wang (2018) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

case2 fields · 3 citationsjingle · one word, two constructs cumulative enhancement model1 fields · 1 citationsanchor · a standalone construct domain3 fields · 4 citationsjingle · one word, three constructs

References

Wang, Z., Dai, Z., Póczos, B., & Carbonell, J. (2018). Characterizing and Avoiding Negative Transfer. arXiv. https://doi.org/10.48550/arxiv.1811.09751

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