Jeffrey J. Cook

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey J. Cook trusts overall

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

  1. Yoshua Bengio
  2. Alex Krizhevsky
  3. Kaiming He
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Matthieu Courbariaux
  7. Ilya Sutskever
  8. Yann LeCun
  9. X. Zhang

Who trusts Jeffrey J. Cook overall

  1. Qing Jin
  2. Asit K. Mishra

Papers from Jeffrey J. Cook's perspective

Ordered by how strongly the researchers Jeffrey J. Cook 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. Going deeper with convolutions
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers