P. Johnson

Artificial Intelligence · with Abeele · 2000–2019

A researcher in the Science corpus: 9 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom P. Johnson trusts overall

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

  1. Lawrence R. Rabiner
  2. Teuvo Kohonen
  3. Diederik P. Kingma
  4. C. Marone
  5. J. Anthony
  6. Yann LeCun
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Max Welling

Who trusts P. Johnson overall

  1. Michele Meo

Papers from P. Johnson's perspective

Ordered by how strongly the researchers P. Johnson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers