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Partial Domain Adaptation

1 papers with code · Methodology
Subtask of Domain Adaptation

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Partial Adversarial Domain Adaptation

ECCV 2018 thuml/PADA

We present Partial Adversarial Domain Adaptation (PADA), which simultaneously alleviates negative transfer by down-weighing the data of outlier source classes for training both source classifier and domain adversary, and promotes positive transfer by matching the feature distributions in the shared label space.