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marrlab · Jan 11, 2024 · 54352be · 54352be
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 ## Distribution shifts, domain generalization and DomainLab
 
 Neural networks trained using data from a specific distribution (domain) usually fails to generalize to novel distributions (domains). Domain generalization aims at learning domain invariant features by utilizing data from multiple domains (data sites, corhorts, batches, vendors) so the learned feature can generalize to new unseen domains (distributions). 
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 <img src="https://github.com/marrlab/DomainLab/blob/master/docs/figs/invarfeat4dg.png?raw=true" style="width:400px;"/> 
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diff --git a/docs/figs/invarfeat4dg → docs/figs/invarfeat4dg.png b/docs/figs/invarfeat4dg → docs/figs/invarfeat4dg.png