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In a more general response: I don't think what I stated obscures what's notable about the system, I feel I stated exactly what was notable and specifically avoi
by Smerity 14y ago
In a more general response: I don't think what I stated obscures what's notable about the system, I feel I stated exactly what was notable and specifically avoided overstating it.
Overhyping when it comes to machine learning and AI seems to be the norm and has already hurt AI/ML severely in the past[1].
More specifically: I didn't disagree with anything you've stated, simply pointed out that labeled training data is necessary in response to the statement that it wasn't.The high-level feature extraction the paper discusses is unsupervised but the classifiers it produces are semi-supervised. It's an important distinction.
[1]: http://en.wikipedia.org/wiki/AI_winter http://en.wikipedia.org/wiki/AI_winter
- sellsword 14y agoHaving a bachelor's emphasis in AI, I think you described it perfectly. I was wondering too from their abstract how they were recognizing "faces" entirely without labels, this makes it clearer. As you said, unsupervised they can find extremely high-level categories. That is pretty impressive.