Jeffrey Hawke

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 65 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey Hawke trusts overall

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

  1. Diederik P. Kingma
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Richard S. Sutton
  8. Kaiming He
  9. Dean A. Pomerleau
  10. Andrew Zisserman

Who trusts Jeffrey Hawke overall

  1. Edouard Leurent
  2. Praveen Palanisamy
  3. Ardi Tampuu
  4. Ekim Yurtsever

Papers from Jeffrey Hawke's perspective

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

Their papers