Unsupervised Domain Adaptation¶
Notebooks¶
These notebooks contain runnable paper implementations:
Papers¶
AdaBN¶
Revisiting Batch Normalization For Practical Domain Adaptation
Docs coming soon
ADDA¶
Adversarial Discriminative Domain Adaptation
AFN¶
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
ATDOC¶
Domain Adaptation with Auxiliary Target Domain-Oriented Classifier
BNM¶
BSP¶
Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation
CDAN¶
Conditional Adversarial Domain Adaptation
CORAL¶
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
DANN¶
Domain-Adversarial Training of Neural Networks
Domain Confusion¶
Simultaneous Deep Transfer Across Domains and Tasks
GAN¶
GVB¶
Gradually Vanishing Bridge for Adversarial Domain Adaptation
IM¶
ITL¶
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Docs coming soon
JMMD¶
Deep Transfer Learning with Joint Adaptation Networks
MCC¶
Minimum Class Confusion for Versatile Domain Adaptation
MCD¶
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
MMD¶
Learning Transferable Features with Deep Adaptation Networks
RTN¶
Unsupervised Domain Adaptation with Residual Transfer Networks
STAR¶
Stochastic Classifiers for Unsupervised Domain Adaptation
SWD¶
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
SymNets¶
Domain-Symmetric Networks for Adversarial Domain Adaptation