Nathan Shone

2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Nathan Shone trusts overall

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

  1. Geoffrey E. Hinton
  2. Li Deng
  3. Pascal Vincent
  4. Trevor J. Hastie
  5. Dong Yu
  6. Yoshua Bengio
  7. Salvatore J. Stolfo
  8. Hugo Larochelle
  9. Leo Breiman
  10. Yann LeCun

Who trusts Nathan Shone overall

  1. Hongyu Liu
  2. Ke He
  3. M. Mohammadi
  4. Mohamed Amine Ferrag
  5. Zeeshan Ahmad
  6. Bo Lang
  7. Dan Dongseong Kim
  8. Ala Al-Fuqaha
  9. Leandros A. Maglaras
  10. Adnan Shahid Khan

Papers from Nathan Shone's perspective

Ordered by how strongly the researchers Nathan Shone 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers