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[D] Has anyone tried using an adversarial game to train classifiers?

I’d be very surprised if no one has tried this before. Imagine a GAN, except instead of a generator generating fake samples and a discriminator trying to distinguish between real and fake samples, you have a generator and a classifier where the generator is attempting to find, for example, the optimal set of 10 pixels to remove from the image the classifier is attempting to classify, in an attempt to get the classifier to be more robust. The only reason I haven’t tried to search and see if this has been done is because I don’t know what I would search for, hahaha

submitted by /u/import_FixEverything
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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.