John Howard

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom John Howard trusts overall

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

  1. Geoffrey E. Hinton
  2. David H. Autor
  3. J. Urgen Schmidhuber
  4. Yann LeCun
  5. Daron Acemoglu
  6. Yoshua Bengio
  7. David H. Hubel
  8. Michael I. Jordan
  9. David E. Rumelhart
  10. Alex Krizhevsky

Who trusts John Howard overall

  1. David H. Autor
  2. Malik Sallam

Papers from John Howard's perspective

Ordered by how strongly the researchers John Howard 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers