About SARM. At this point I am 100% convinced that the VGG16 experiment is not for real. Most likely a big experimental mistake, not fraud.
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I cannot speak for the first two experiments. As for the VGG16 experiment, I am confident enough about this to state it publicly.
That said. If this paper manages to reignite interest in sparse coding, then that's a positive result. Important, under-appreciated topic.
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Backprop is computationally inefficient and data-inefficient. In the future we won't be using it. But its replacement has yet to be found.
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@withfries2 aren't people working with synthetic gradients nowadays? - Show replies
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Did you do backprop on an unrolled k-ARM after setting the weights? I think the kSVMs are just a fancy initialization, like de RBM
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I'm not sure how inspirational a big scandal that highlights the practical weakness in sparse coding will be
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