Simon Caton

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 110 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Caton trusts overall

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

  1. Silvia Chiappa
  2. Alexandra Chouldechova
  3. Alekh Agarwal
  4. Harald Steck
  5. D. Massey
  6. Faisal Kamiran
  7. Yoshua Bengio
  8. Geoffrey E. Hinton
  9. Richard A. Berk
  10. Razieh Nabi

Who trusts Simon Caton overall

  1. Bo Li
  2. Tianbao Yang
  3. Lucas Rosenblatt
  4. Peng Qi
  5. Jingyi Shen
  6. Huisu Jang
  7. Omer Berat Sezer

Papers from Simon Caton's perspective

Ordered by how strongly the researchers Simon Caton 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers