classifier-free guidance does: interpolates between conditional and unconditional generation

Adversarial machine learning

Can you imagine a world where machines learn without seeing examples first?

Boosting (machine learning)

Boosting reduces bias in ML models

soft targets carry more information than hard labels: they encode class similarities

Why do some learning methods need to explore more than others?

score matching does: learns the gradient of the log-density without normalizing

Ever wonder how we can compare apples and oranges fairly in studies?

Model selection

Why do we sometimes choose simpler explanations over complex ones?

the condition number κ(A) measures: sensitivity of Ax=b to perturbations

How small changes affect big outcomes