Paul Cook

Natural Language Processing · 2012–2015

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Cook trusts overall

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

  1. Adam Kilgarriff
  2. Yee Whye Teh
  3. Michael I. Jordan
  4. David M. Blei
  5. Adriano Ferraresi
  6. Xuerui Wang
  7. Geoffrey E. Hinton
  8. Yiming Yang
  9. Huaiyu Zhu
  10. Andrew Y. Ng

Who trusts Paul Cook overall

  1. Lea Frermann
  2. Mario Giulianelli
  3. Mark Dredze
  4. Mirella Lapata
  5. Dong Nguyen
  6. Marco Del Tredici
  7. Umashanthi Pavalanathan
  8. Jey Han Lau
  9. Sebastian Ruder
  10. R. Fern'andez

Papers from Paul Cook's perspective

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

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

Their papers