Machine learning has been full of methods for learning latent feature representations since way before deep learning was trendy, from simple things like PCA to more sophisticated Bayesian models. Deep learning refers specifically to using multi layer neural models and while neat is only one way of doing it and certainly didn't invent the whole concept of learning feature representations as recently as 2012!