John S. Barlow

Cognitive Neuroscience · 2002

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom John S. Barlow trusts overall

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

  1. Mitsuo Kawato
  2. Paul J. Werbos
  3. David E. Rumelhart
  4. Ronald J. Williams
  5. D. Marr
  6. John J. Hopfield
  7. James S. Albus
  8. Kenji Doya
  9. Simon S. Haykin
  10. Richard S. Sutton

Who trusts John S. Barlow overall

  1. S. Farris
  2. Masao Ito
  3. L. Koziol
  4. Narender Ramnani
  5. D. Budding

Papers from John S. Barlow's perspective

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

  1. Learning representations by back-propagating errors
  2. Learning internal representations by error propagation
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. ImageNet classification with deep convolutional neural networks
  5. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
  6. Natural Gradient Works Efficiently in Learning
  7. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
  8. Forward Models: Supervised Learning with a Distal Teacher
  9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers