深度残差学习是由何恺明、张祥雨、任少卿和孙剑等人发明的。
Who invented deep residual learning?
September 29, 2025
作者: Juergen Schmidhuber
cs.AI
摘要
现代人工智能技术主要建立在深度人工神经网络（NNs）基础之上。截至2025年，21世纪被引用次数最多的科学论文便是一篇关于深度残差学习及残差连接的神经网络研究。那么，这一突破性成果的发明者是谁呢？我们将在此呈现深度残差学习发展的时间脉络。
English
Modern AI is based on deep artificial neural networks (NNs). As of 2025, the
most cited scientific article of the 21st century is an NN paper on deep
residual learning with residual connections. Who invented this? We present a
timeline of the evolution of deep residual learning.