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Articole: 10
  1. When Eigenvalues Collide

    📝 This series contents became a paper (preprint, code)!

  2. 📝 This series contents became a paper (preprint, code)!

  3. 📝 This series contents became a paper (preprint, code)!

  4. 📝 This series contents became a paper (preprint, code)!

  5. 📝 This series contents became a paper (preprint, code)!

  6. 📝 This series contents became a paper (preprint, code)!

  7. Intro Yes, I’m making a joke of the tendency to put the words “attention” and “alignment” in any ML paper 😎.

  8. Intro Last time we did a small curve fitting exercise - we fit high degree polynomials represented in the Legendre basis to a curve, and observe the celebrated “double descent” phenomenon: after crossing the memorization threshold, the generalization error

  9. Intro In a recent post by Ben Recht, titled Though Shalt Not Overfit, Ben claims that overfitting in the way that it is colloquially described in data science and machine learning, doesn’t exist.

  10. Intro In the previous post we learned a technique to use a neural network to produce the coefficients of a function in a basis of our choice.