Research map / Label-efficient and robust learning / Domain adaptation and generalization
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use minimal MMD correction on all participants (S2) instead of linear standardization | minimal MMD domain adaptation · AD CSF regression, right hippocampal volume | correlation: 0.37 -> 0.40 | Helped |
| use minimal MMD on S1 instead of linear standardization | minimal MMD domain adaptation · AD CSF regression, left hippocampal volume | correlation: 0.46 -> 0.48 | Helped |
| use minimal MMD on S1 instead of linear standardization | minimal MMD domain adaptation · AD CSF regression, right hippocampal volume | correlation: 0.37 -> 0.39 | Helped |
| linear standardization vs no correction (ablation) | linear standardization · AD CSF regression | correlation: 0.46 -> 0.46 | No clear effect |
| target distribution is non-Normal (Exp or Lap) instead of Normal (ablation) | minimal MMD test · synthetic, source Normal | rejection of H0 | Helped |
| transformation class beyond linear (e.g. log) (ablation) | minimal MMD test · synthetic | rejection of H0 as samples increase | Helped |
| increase sample size (ablation) | minimal MMD estimation · synthetic | estimation error | Helped |
| limited sample size for some targets (ablation) | minimal MMD test · synthetic Nor vs Exp/Lap histograms | rejection of null | Hurt |
| use minimal MMD on S1 or S2 instead of corresponding-sample linear standardization | minimal MMD · AD study 12 CSF proteins | relative error between batches | No clear effect |
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