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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 21–30 of 56 papers

TitleStatusHype
Associative Partial Domain Adaptation—0
A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting—0
Partial Feature Selection and Alignment for Multi-Source Domain Adaptation—0
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network—0
Relation Adversarial Network for Low Resource Knowledge Graph Completion—0
Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation—0
Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation—0
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation—0
Self-Adaptive Partial Domain Adaptation—0
Self-Supervised Learning Across Domains—0
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