Ross W. Gayler

Artificial Intelligence · 1998–2010

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ross W. Gayler trusts overall

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

  1. Geoffrey E. Hinton
  2. Ray Jackendoff
  3. Ann A. Copestake
  4. Keith J. Holyoak
  5. Yoshua Bengio
  6. Radford M. Neal
  7. Alex Krizhevsky
  8. Ruslan Salakhutdinov
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Ross W. Gayler overall

  1. E. P. Frady
  2. Spencer J. Kent
  3. Robert F. Hadley
  4. Michael Hersche
  5. Barbara Olshausen
  6. Geethan Karunaratne
  7. Klaus Greff
  8. Eric Crawford
  9. Friedrich T. Sommer
  10. Yuxi Li

Papers from Ross W. Gayler's perspective

Ordered by how strongly the researchers Ross W. Gayler 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. Long Short-Term Memory
  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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers