Chun-Nam John Yu

Artificial Intelligence · 2009

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 330 researchers here, as inferred from the citation graph.

Subfields

Whom Chun-Nam John Yu trusts overall

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

  1. Thorsten Joachims
  2. Vladimir Naumovich Vapni
  3. B. Taskar
  4. Ioannis Tsochantaridis
  5. Ronan Collobert
  6. Pedro F. Felzenszwalb
  7. Arthur P. Dempster
  8. Vladimir Naumovich Vapnik
  9. Tie-Yan Liu
  10. Geoffrey E. Hinton

Who trusts Chun-Nam John Yu overall

  1. Mohammad Norouzi
  2. Tian Lan
  3. Deva Ramanan
  4. Andrea Vedaldi
  5. Yang Wang
  6. Percy Liang
  7. Hamed Pirsiavash
  8. Ivan Lillo
  9. Trevor Darrell
  10. Sanja Fidler

Papers from Chun-Nam John Yu's perspective

Ordered by how strongly the researchers Chun-Nam John Yu 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers