Duncan Wilson

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Duncan Wilson trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Ilya Loshchilov
  4. Dan Hendrycks
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Kaiming He
  8. Volodymyr Mnih
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Duncan Wilson overall

  1. Dan Hendrycks
  2. Curtis G. Northcutt
  3. Kimin Lee
  4. Görkem Algan
  5. Zhilu Zhang
  6. Ryuichiro Hataya
  7. Omid Kashefi

Papers from Duncan Wilson's perspective

Ordered by how strongly the researchers Duncan Wilson 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers