Simon Corston-Oliver

Artificial Intelligence · 2005–2006

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Corston-Oliver trusts overall

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

  1. Franz Joseph Och
  2. Joshua Goodman
  3. Michael Collins
  4. Jason Eisner
  5. Peter D. Turney
  6. Hiroyasu Yamada
  7. Mitchell P. Marcus
  8. Christopher D. Manning
  9. Chris Quirk
  10. Kristina Toutanova

Who trusts Simon Corston-Oliver overall

  1. Mike Thelwall
  2. Bing Liu
  3. Marina Sokolova

Papers from Simon Corston-Oliver's perspective

Ordered by how strongly the researchers Simon Corston-Oliver trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Building a Large Annotated Corpus of English: The Penn Treebank

Their papers