Robert J. Lyon

Monthly notices of the Royal Astronomical Society · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Robert J. Lyon trusts overall

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

  1. Radford M. Neal
  2. Simon S. Haykin
  3. W. Hoeffding
  4. Corinna Cortes
  5. Ron Kohavi
  6. Qiang Yang
  7. Haibo He
  8. Markos Markou
  9. R. Manchester
  10. Gavin Brown

Who trusts Robert J. Lyon overall

  1. Günter Klambauer
  2. Thomas Unterthiner

Papers from Robert J. Lyon's perspective

Ordered by how strongly the researchers Robert J. Lyon 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. Learning Deep Architectures for AI
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers