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I agree that there's probably a good question about to what extent looking at benchmark sets is biasing our judgment.

But it's also unclear to me how to get a decision tree to perform as well on image recognition tasks the same way that a CNN does. (Of course, as you mention, the CNN will likely face adversarial examples.)




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