Match each of following Models with its corresponding:

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Assign labels to data

Feature learning $($with labels$)$

Detect $$utliers

Feature learning $($without labels$)$

Sample to generate new data

Assign labels, while rejecting outliers!

Generate new data conditioned on input labels

Discriminative Model: Learn a probability distribution $(x|)$

Generative Model: Learn a probability distribution $p(x)$

Conditional Generative Model: Learn $(y|)$