Philip Williams

Natural Language Processing · 1993–2020

A researcher in the Science corpus: 8 papers; trusts 76 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Philip Williams trusts overall

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

  1. Rico Sennrich
  2. Franz Joseph Och
  3. Philipp Koehn
  4. Andreas Stolcke
  5. Michel Galley
  6. Slav Petrov
  7. David Chiang
  8. Barry Haddow
  9. Christopher D. Manning
  10. Stanley F. Chen

Who trusts Philip Williams overall

  1. Rico Sennrich
  2. Barry Haddow
  3. Yoav Goldberg
  4. Matthias Huck
  5. Philipp Koehn
  6. Markus Freitag
  7. Roland Schäfer
  8. Harsh Jhamtani
  9. Alexandra Birch
  10. Antonio Toral

Papers from Philip Williams's perspective

Ordered by how strongly the researchers Philip Williams 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. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers