Patrick Byrne

Cognitive Neuroscience · 2007

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Byrne trusts overall

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

  1. Geoffrey E. Hinton
  2. J. J. Kim
  3. John O'Keefe
  4. Michael E. Hasselmo
  5. Eleanor A. Maguire
  6. Bruce L. McNaughton
  7. Neil Burgess
  8. Simon Osindero
  9. Suzanna Becker
  10. D. Marr

Who trusts Patrick Byrne overall

  1. Neil Burgess
  2. Russell A. Epstein
  3. Wenxiu Ma
  4. Daniel L. Schacter
  5. Jack M. Loomis
  6. Daniel Bush
  7. C. Brewin
  8. Donna Rose Addis
  9. C. Barry
  10. Bence Nanay

Papers from Patrick Byrne's perspective

Ordered by how strongly the researchers Patrick Byrne 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. A Fast Learning Algorithm for Deep Belief Nets
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Training Products of Experts by Minimizing Contrastive Divergence
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers