Translations:Deep Residual Learning for Image Recognition/26/en

Subsequent theoretical work showed that skip connections help gradients flow through very deep networks by providing shorter paths during backpropagation, effectively mitigating the vanishing gradient problem that had long plagued deep network training. The paper has accumulated over 200,000 citations, making it one of the most referenced works in all of science.