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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 41–50 of 56 papers

TitleStatusHype
Self-Supervised Learning Across Domains—0
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization—0
Partial Domain Adaptation Using Graph Convolutional Networks—0
Deep Residual Correction Network for Partial Domain AdaptationCode0
Class Conditional Alignment for Partial Domain Adaptation—0
Minimum Class Confusion for Versatile Domain AdaptationCode0
Relation Adversarial Network for Low Resource Knowledge Graph Completion—0
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning—0
Tackling Partial Domain Adaptation with Self-Supervision—0
Discriminative Clustering for Robust Unsupervised Domain Adaptation—0
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