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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

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Showing 51–56 of 56 papers

TitleStatusHype
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation—0
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation—0
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation—0
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain AdaptationCode0
Partial Adversarial Domain AdaptationCode0
Importance Weighted Adversarial Nets for Partial Domain AdaptationCode0
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