Implicit bias produces neural scaling laws in learning curves, from perceptrons to deep networks

Francesco D'Amico, Dario Bocchi, Matteo Negri

Scaling laws in deep learning -- empirical power-law relationships linking model performance to resource growth -- have emerged as simple yet striking regularities across architect…