Yi Chai

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 4 papers; trusts 83 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Chai trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Li Fei-Fei
  4. Yann LeCun
  5. Chih-Jen Lin
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Matthew D. Zeiler
  9. Andrew Zisserman
  10. Rob Fergus

Who trusts Yi Chai overall

  1. Wei Tang

Papers from Yi Chai's perspective

Ordered by how strongly the researchers Yi Chai 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers