Karen Leung

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Karen Leung trusts overall

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

  1. Sepp Hochreiter
  2. J. Urgen Schmidhuber
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. David R Ha
  6. Oriol Vinyals
  7. Samy Bengio
  8. Andrew Y. Ng
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Karen Leung overall

  1. Nicholas Rhinehart
  2. Gokul Swamy
  3. Brian Ichter
  4. Alex Zyner

Papers from Karen Leung's perspective

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

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

Their papers