Jason R. Smith

Natural Language Processing · 2010–2016

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Jason R. Smith trusts overall

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

  1. Philipp Koehn
  2. Franz Joseph Och
  3. Philip Resnik
  4. Robert C. Moore
  5. Steven Bird
  6. Chris Callison-Burch
  7. Muthu Dayalan
  8. Dragos Stefan Munteanu
  9. John D. Lafferty
  10. Noah A. Smith

Who trusts Jason R. Smith overall

  1. Christian Buck
  2. Holger Schwenk
  3. Thierry Etchegoyhen
  4. Philipp Koehn
  5. Viktor Hangya
  6. Omar Zaidan
  7. Ferhan Ture
  8. Jeremy Gwinnup
  9. Chongman Leong
  10. Jimmy J. Lin

Papers from Jason R. Smith's perspective

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

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

Their papers