Leo Pape

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Leo Pape trusts overall

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

  1. Geoffrey E. Hinton
  2. J. Urgen Schmidhuber
  3. Yann LeCun
  4. Ilya Sutskever
  5. Richard S. Sutton
  6. Chih-Jen Lin
  7. Yoshua Bengio
  8. Marc'Aurelio Ranzato
  9. Corinna Cortes
  10. Andrew Barto

Who trusts Leo Pape overall

  1. Mikhail Frank

Papers from Leo Pape's perspective

Ordered by how strongly the researchers Leo Pape 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. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers