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RODA-OOD: Robust Domain Adaptation from Out-of-Distribution Data

Domain adaptation aims to effectively learn from two domains with different distributions, solving labeling problems; however, traditional methods assume that the source and target data are in-distribution data that share the same labels. In practice, Out-Of-Distribution (OOD) data which do not shar...

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Principais autores: Jaekyun Jeong, Mangyu Lee, Sunguk Yun, Keejun Han, Jungeun Kim
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-12-01
Serier:Mathematics
Fag:
robust domain adaptation
out-of-distribution data
temperature scaling
curriculum learning
RODA-OOD
Online adgang:https://www.mdpi.com/2227-7390/12/24/3895
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