Research map / Label-efficient and robust learning / Domain adaptation and generalization
Extracting Relationships by Multi-Domain Matching
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use MDMN weighted pairwise domain matching instead of MDANs | domain-adaptation CNN/SyncNet · MNISTM target | accuracy (%): 68.5 -> 83.8 | Helped |
| use MDMN instead of DANN | domain-adaptation CNN/SyncNet · SVHN target | accuracy (%): 50.1 -> 53.1 | Helped |
| use MDMN instead of MDANs | domain-adaptation CNN/SyncNet · SEED EEG | accuracy (%): 56.65 -> 60.59 | Helped |
| use MDMN instead of DANN | domain-adaptation CNN/SyncNet · ASD EEG | accuracy (%): 63.81 -> 67.78 | Helped |
| apply TCA domain adaptation instead of plain baseline | CNN baseline · image targets | accuracy (%): 94.6 -> 78.4 (MNIST) | Hurt |
| MDMN vs DANN on MNIST target | MDMN · MNIST target | accuracy (%): 97.9 -> 98.0 | No clear effect |
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