Jonathan A. Fan

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan A. Fan trusts overall

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

  1. Jakob S. Jensen
  2. S. Molesky
  3. Diederik P. Kingma
  4. Ole Sigmund
  5. Alex Krizhevsky
  6. E. Rogers
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Yann LeCun

Who trusts Jonathan A. Fan overall

  1. Peter R. Wiecha

Papers from Jonathan A. Fan's perspective

Ordered by how strongly the researchers Jonathan A. Fan 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. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers