Yang Song

Computer Vision and Pattern Recognition · with Cai · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 295 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Song trusts overall

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

  1. Karen Simonyan
  2. Andrew Zisserman
  3. Andrea Vedaldi
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Ross B. Girshick
  8. David G. Lowe
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Yang Song overall

  1. Simon Kornblith
  2. Bastiaan S. Veeling
  3. Li Liu
  4. Jonathon Shlens
  5. Jasper Linmans

Papers from Yang Song's perspective

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

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

Their papers