 However, the potential of Autoencoders resides in their non-linearity, allowing the model to learn more powerful generalizations compared to PCA, and to reconstruct back the input with a significantly lower loss of information.Information Retrieval benefits particularly from dimensionality reduction in that search can become extremely efficient in certain kinds of low dimensional spaces.Autoencoders were indeed applied to semantic hashing, proposed by Salakhutdinov and Hinton in 2007.