Neural Networks as Kernel Learners: The Silent Alignment Effect — mentioned by babel_

Thu, 28 Mar 2024 13:59:52 GMT

So, from the perspective I have within the subfield I work in, explainable AI (XAI), we're seeing a bunch of fascinating developments. First, as you mentioned, Rudin continues to prove that the reason for using AI/ML is that we don't understand the problem well enough; otherwise we wouldn't even think to use it! So, pushing our focus to better understand the problem, and then levy ML concepts and techniques (including "classical AI" and statistical learning), we're able to make something that not only outperforms some state-of-the-art in most metrics, but often even is much less resource…

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Neural Networks as Kernel Learners: The Silent Alignment Effect · HackerPapers discussions

Neural Networks as Kernel Learners: The Silent Alignment Effect — mentioned by babel_