He et al. • 2015

Abstract

ResNet introduced 'skip connections' (residual learning), allowing neural networks to be trained at unprecedented depths (hundreds of layers) without vanishing gradients. This architecture became the default for computer vision for years.

Why It Matters

• Enabled training of very deep networks
• Winner of ILSVRC 2015
• Skip connections are now standard across architectures