Haeyoung Lee

Electrical and Electronic Engineering · with He · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haeyoung Lee trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Julie A. Adams
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Christian Szegedy
  8. Jia Deng
  9. Andrew Zisserman
  10. Hervé Bourlard

Papers from Haeyoung Lee's perspective

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

Their papers