Christopher W. Fletcher

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christopher W. Fletcher trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Oded Goldreich
  6. Geoffrey E. Hinton
  7. Rafail M. Ostrovsky
  8. Muthu Dayalan
  9. Craig Gentry
  10. Yoshua Bengio

Who trusts Christopher W. Fletcher overall

  1. Mihailo Isakov
  2. Soham Pal

Papers from Christopher W. Fletcher's perspective

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

Their papers