Han S. Lee

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Han S. Lee trusts overall

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

  1. Karen Simonyan
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. R. Olson
  5. Sinno Jialin Pan
  6. Nitish Srivastava
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. L. V. D. van der Maaten
  10. H. Sosik

Who trusts Han S. Lee overall

  1. Yuzhe Yang
  2. Lixu Wang
  3. Zhi Xu
  4. Shichao Xu

Papers from Han S. Lee's perspective

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

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

Their papers