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For questions related to feature learning (also known as representation learning), which is a set of techniques that can learn the features associated with the raw data. It is similar to feature engineering, but, in the case of feature learning, the features are learned and not handcrafted.
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Is it possible to use adversarial training to learn invariant features?
Given a set of time series data that are generated from different sites where all sites are investigating the same objective but with slightly different protocols.
Is it possible to use adversarial …