Scott E. Fahlman

Model Architectures · 1973–2017

A researcher in the Science corpus: 7 papers; trusts 9 researchers and is trusted by 83 researchers here, as inferred from the citation graph.

Subfields

Whom Scott E. Fahlman trusts overall

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

  1. Jeffrey L. Elman
  2. Michael C. Mozer
  3. David E. Rumelhart
  4. Robert A. Jacobs
  5. Terry Winograd
  6. Geoffrey E. Hinton
  7. Ronald J. Williams
  8. Yann LeCun
  9. Paul J. Werbos
  10. James L. McClelland

Who trusts Scott E. Fahlman overall

  1. Mark B. Ring
  2. John A. Bullinaria
  3. Lutz Prechelt
  4. David E. Moriarty
  5. Yoshua Bengio
  6. Kyunghyun Cho
  7. Alex Graves
  8. Ajith Abraham
  9. Alessandro Sperduti
  10. Holger R. Maier

Papers from Scott E. Fahlman's perspective

Ordered by how strongly the researchers Scott E. Fahlman 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. Learning internal representations by error propagation
  3. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet classification with deep convolutional neural networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers