Courtenay V. Cotton

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 140 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Courtenay V. Cotton trusts overall

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

  1. Sebastian Thrun
  2. Karen Simonyan
  3. Yoshua Bengio
  4. Dzmitry Bahdanau
  5. Geoffrey E. Hinton
  6. Been Kim
  7. Alex Krizhevsky
  8. Cynthia Rudin
  9. Diederik P. Kingma
  10. Brian Y. Lim

Who trusts Courtenay V. Cotton overall

  1. Tim Miller
  2. Dan Stowell
  3. Sarah Wiegreffe
  4. Justin Salamon
  5. Giulia Vilone
  6. Adrien Bennetot
  7. Jie M. Zhang
  8. D. Richard Kuhn
  9. Ana Marasovic
  10. Dimitrios Giannoulis

Papers from Courtenay V. Cotton's perspective

Ordered by how strongly the researchers Courtenay V. Cotton 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers