Stephen Mayhew

Natural Language Processing · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen Mayhew trusts overall

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

  1. Jeffrey Pennington
  2. Jason P. C. Chiu
  3. Ronan Collobert
  4. Guillaume Lample
  5. Richard Socher
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Christopher D. Manning
  9. Eduard H. Hovy
  10. Philipp Koehn

Who trusts Stephen Mayhew overall

  1. Timo Schick
  2. Hinrich Schütze

Papers from Stephen Mayhew's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers