Shan Carter

Computer Vision and Pattern Recognition · 2001–2021

A researcher in the Science corpus: 9 papers; trusts 6 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Shan Carter trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yann LeCun
  8. Alec Radford

Who trusts Shan Carter overall

  1. David R Ha
  2. Adam Roberts
  3. Maithra Raghu
  4. Dar Gilboa
  5. Nils Rethmeier
  6. Tim Sainburg
  7. Vanessa Buhrmester
  8. Eugene Wu
  9. J.D. Zamfirescu-Pereira
  10. Sebastian Gehrmann

Papers from Shan Carter's perspective

Ordered by how strongly the researchers Shan Carter 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers