Yuan Gao

Artificial Intelligence · with Berges · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 207 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuan Gao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Richard S. Sutton
  9. Ilya Sutskever
  10. J. Urgen Schmidhuber

Papers from Yuan Gao's perspective

Ordered by how strongly the researchers Yuan Gao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers