Yuanyuan Li

Computer Vision and Pattern Recognition · with Li · 2019

A researcher in the Science corpus: 1 paper; trusts 125 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuanyuan Li trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Shaoqing Ren
  8. Sepp Hochreiter
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Yuanyuan Li's perspective

Ordered by how strongly the researchers Yuanyuan 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. 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. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers