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Partial Domain Adaptation

Partial Domain Adaptation is a transfer learning paradigm, which manages to transfer relevant knowledge from a large-scale source domain to a small-scale target domain.

Source: Deep Residual Correction Network for Partial Domain Adaptation

Papers

Showing 5156 of 56 papers

TitleStatusHype
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain AdaptationCode0
Partial Adversarial Domain AdaptationCode0
Domain Consensus Clustering for Universal Domain AdaptationCode0
Selective Partial Domain AdaptationCode0
Unsupervised Domain Adaptation with Progressive Adaptation of SubspacesCode0
Partial Domain Adaptation without Domain AlignmentCode0
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