Researcher
Kaiming He
Papers
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Deep Residual Learning for Image Recognition
Residual learning let networks go hundreds of layers deep by having layers fit a residual rather than a full mapping, solving the degradation problem. Residual connections are now standard in nearly every deep architecture, Transformers included.
arxiv.org ↗