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Found 3 papers, 2 papers with code
Domain Conditional Predictors for Domain Adaptation
Domain adaptation approaches thus appeared as a useful framework yielding extra flexibility in that distinct train and test data distributions are supported, provided that other assumptions are satisfied such as covariate shift, which expects the conditional distributions over labels to be independent of the underlying data distribution.
Sequential Score Adaptation with Extreme Value Theory for Robust Railway Track Inspection
Periodic inspections are necessary to keep railroad tracks in state of good repair and prevent train accidents.
Deep Multi-task Learning for Railway Track Inspection
Railroad tracks need to be periodically inspected and monitored to ensure safe transportation.
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