Yan Song

Computer Vision and Pattern Recognition · with Li · 2008–2023

A researcher in the Science corpus: 9 papers; trusts 193 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Song trusts overall

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

  1. Tomas Mikolov
  2. Geoffrey E. Hinton
  3. Ivan Laptev
  4. Yoshua Bengio
  5. Kaiming He
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. David G. Lowe
  9. Lu Xia
  10. Diederik P. Kingma

Who trusts Yan Song overall

  1. Chujie Zheng
  2. Zhihong Chen
  3. Rui Liu
  4. Zexin Cai
  5. Xingyang Cai
  6. Yuyang Nie
  7. Ma Jin
  8. Wang Geng
  9. Minlie Huang
  10. Siyi Liu

Papers from Yan Song's perspective

Ordered by how strongly the researchers Yan 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers