Results for "early stop"

Gradients shrink through layers, slowing learning in early layers; mitigated by ReLU, residuals, normalization.

Early architecture using learned gates for skip connections.

Early signals disproportionately influence outcomes.

Halting training when validation performance stops improving to reduce overfitting.