FSL-Net localizes shifted features between two datasets using a network trained on 1,350 datasets, matching DataFix's F1 while being about 36x faster on average.
The entries of W are drawn from one of four distributions: U(0,1) , N(0,1) , Beta(1,1) , or Bernoulli(0.5)
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Feature Shift Localization Network
FSL-Net localizes shifted features between two datasets using a network trained on 1,350 datasets, matching DataFix's F1 while being about 36x faster on average.