Joe Davison

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Joe Davison trusts overall

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

  1. Hirotugu Akaike
  2. Jacob Devlin
  3. Alec Radford
  4. Robyn Speer
  5. Trieu H. Trinh
  6. Hugo Liu
  7. Jonathan Gordon
  8. Quoc V. Le
  9. Hector J. Levesque
  10. Geoffrey E. Hinton

Who trusts Joe Davison overall

  1. Timo Schick
  2. Vered Shwartz
  3. Hinrich Schütze
  4. Peter West
  5. Tara Safavi
  6. Yejin Choi
  7. Ning Ding
  8. Bill Yuchen Lin
  9. Tianxiang Sun
  10. Pengfei Liu

Papers from Joe Davison's perspective

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

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

Their papers