Jonathan Li

Computer Vision and Pattern Recognition · with Chen · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 99 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan Li trusts overall

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

  1. Dacheng Tao
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Yoshua Bengio
  8. Sepp Hochreiter
  9. Ross B. Girshick
  10. R. Fisher

Papers from Jonathan Li's perspective

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

Their papers