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Partial Domain Adaptation

2 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.

PARTIAL DOMAIN ADAPTATION

Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation

19 Nov 2018Zymrael/paper-notes

Domain adaptation enables the learner to safely generalize into novel environments by mitigating domain shifts across distributions.

PARTIAL DOMAIN ADAPTATION TRANSFER LEARNING UNSUPERVISED DOMAIN ADAPTATION