Discriminative models have been at the forefront of the recent success in the field of machine learning. Models make predictions that depend on a given input, although they are not able to generate new samples or data.
The idea behind the recent progress of generative modeling is to convert the generation problem to a prediction one and use deep learning algorithms to learn such a problem.
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