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[D] Falsified results with Deep learning

Hi everyone !

I am looking for papers that would show that deep learning can “invent” things, especially in the domain of super-resolution/upsampling. I only find papers that boasts the merits of their method, but not papers that show that their network can mistake high frequency features and noise or stuff like that…

Anyone?

Thanks!

submitted by /u/luciolis
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.