Jonathan Li

Computer Vision and Pattern Recognition · with Gao · 2022

A researcher in the Science corpus: 1 paper; trusts 161 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. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Andreas Geiger
  7. Yoshua Bengio
  8. Yann LeCun

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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  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