Spence Green

Natural Language Processing · 2014–2016

A researcher in the Science corpus: 6 papers; trusts 62 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Spence Green trusts overall

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

  1. Franz Joseph Och
  2. Kenneth Heafield
  3. Philipp Koehn
  4. Christopher D. Manning
  5. Percy Liang
  6. John C. Duchi
  7. Chin-Yew Lin
  8. Michel Galley
  9. Salim Roukos
  10. Hermann Ney

Who trusts Spence Green overall

  1. David Grangier
  2. Julia Kreutzer
  3. Rebecca Knowles
  4. Tsz Kin Lam
  5. Michael Auli
  6. Christopher D. Manning
  7. Jason Chuang
  8. Philipp Koehn
  9. Stefan Riezler
  10. Joern Wuebker

Papers from Spence Green's perspective

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

Their papers