Yu Chen

Computer Vision and Pattern Recognition · with Fang · 2021

A researcher in the Science corpus: 1 paper; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Andrew Zisserman
  7. Ilya Sutskever
  8. Jimmy Ba
  9. Yann LeCun
  10. Antoine Miech

Papers from Yu Chen's perspective

Ordered by how strongly the researchers Yu Chen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers