Greetings,

I'm interested in reading literature covering research on performance of deep learning systems. Specifically, works that attempt to quantify how performance changes when the fully trained system is exposed to real world data, which may have model deviations not expressed in training data. Think "Google flu trends": (http://science.sciencemag.org/content/343/6176/1203)

Please share references for this problem (your personal work or otherwise).

Thank you.