Shawn Shan

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 94 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shawn Shan trusts overall

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

  1. Ian J. Goodfellow
  2. Nicholas Carlini
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Kaiming He
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Shawn Shan overall

  1. Rohit Gandikota
  2. Yige Li

Papers from Shawn Shan's perspective

Ordered by how strongly the researchers Shawn Shan 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers