Mark J. Coates

Artificial Intelligence · 2002–2020

A researcher in the Science corpus: 6 papers; trusts 26 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Mark J. Coates trusts overall

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

  1. Arnaud Doucet
  2. Lin Xiao
  3. Julian Besag
  4. Robert M. Gray
  5. Nando de Freitas
  6. Stephen P. Boyd
  7. Michael K. Pitt
  8. Reza Olfati-Saber
  9. Neil J. Gordon
  10. Seif Haridi

Who trusts Mark J. Coates overall

  1. Federico Castanedo
  2. Guoqiang Mao
  3. Cun-Hui Zhang
  4. Soummya Kar
  5. Baris Fidan
  6. Azzedine F. M. Boukerche
  7. Neil T. Spring
  8. Ruggero Carli
  9. Minyi Huang
  10. José M. F. Moura

Papers from Mark J. Coates's perspective

Ordered by how strongly the researchers Mark J. Coates trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. ImageNet classification with deep convolutional neural networks
  4. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. GENERATIVE ADVERSARIAL NETS

Their papers