Assume a multi-view scenario, where multiple views of the same entity are available. If each data pair is assigned a label and the resulting scenario is highly imbalanced, what are proper ways of rebalancing the dataset?

While I am aware of techniques such as Smote-Tomek or Smote-ENN, I am looking for techniques which would help ensure that the synthetic samples generated for each view are still related to each other in a pair.


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