Scott T. Grafton

Cognitive Neuroscience · 2000–2019

A researcher in the Science corpus: 13 papers; trusts 61 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Scott T. Grafton trusts overall

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

  1. Mark Newman
  2. D. Bassett
  3. E. Bullmore
  4. Olaf Sporns
  5. Sophie Achard
  6. Michael R. Chernick
  7. Ronald J. Williams
  8. Diederik P. Kingma
  9. Geoffrey E. Hinton
  10. Kaiming He

Who trusts Scott T. Grafton overall

  1. D. Bassett
  2. Olaf Sporns
  3. Scott Glover
  4. S. M. Beurze
  5. Valeria Gazzola
  6. J. Saunders
  7. Myrto I. Mylopoulos
  8. F. Van Overwalle
  9. Christian Keysers
  10. Elisabeth Pacherie

Papers from Scott T. Grafton's perspective

Ordered by how strongly the researchers Scott T. Grafton trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers