Improving deep label noise learning with dual active label correction
Label noise is now a common problem in many applications, which may lead to significant learning performance degeneration. To deal with the label noise, Active Label Correction (ALC) was proposed to query the true labels for a small subset of instances. As the true labels costs can be high, the focu...
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Veröffentlicht in: | Machine learning 2022-03, Vol.111 (3), p.1103-1124 |
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