J. V. Leeuwen

Model Architectures · 2001

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. V. Leeuwen trusts overall

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

  1. Scott E. Fahlman
  2. Alessandro Sperduti
  3. Ronald J. Williams
  4. G. Puskorius
  5. Paolo Frasconi
  6. J. Urgen Schmidhuber
  7. Eduardo Sontag
  8. David Zipser
  9. Hava T. Siegelmann
  10. Lee A. Feldkamp

Papers from J. V. Leeuwen's perspective

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

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning long-term dependencies with gradient descent is difficult
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
  10. Going deeper with convolutions

Their papers