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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 1–10 of 56 papers

TitleStatusHype
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
Adversarial Reweighting for Partial Domain AdaptationCode1
Improving Mini-batch Optimal Transport via Partial TransportationCode1
A Balanced and Uncertainty-aware Approach for Partial Domain AdaptationCode1
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain AdaptationCode1
Universal Domain Adaptation through Self SupervisionCode1
Learning to Transfer Examples for Partial Domain AdaptationCode1
Bi-level Unbalanced Optimal Transport for Partial Domain Adaptation—0
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation—0
Co-training partial domain adaptation networks for industrial Fault Diagnosis—0
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