John E. Hopcroft

Artificial Intelligence · 1971–2020

A researcher in the Science corpus: 16 papers; trusts 652 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom John E. Hopcroft trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Yoshua Bengio
  5. Kaiming He
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Karen Simonyan
  9. Christian Szegedy
  10. Ian J. Goodfellow

Who trusts John E. Hopcroft overall

  1. Steven S. Skiena
  2. Mehryar Mohri
  3. David A. Wagner
  4. Michael Collins
  5. Henrik Jacobsson
  6. Brian Roark
  7. Wolfgang Maass
  8. Whitney Tabor
  9. Steven M. LaValle
  10. Asok Ray

Papers from John E. Hopcroft's perspective

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

Their papers