Scott A. Hale

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Scott A. Hale trusts overall

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

  1. John F. Canny
  2. Andrew P. Witkin
  3. Anatoliy A. Gruzd
  4. Lichan Hong
  5. J. Platt
  6. Yuri Takhteyev
  7. Thomas Davidson
  8. Demetri Terzopoulos
  9. Jacob Eisenstein
  10. Zhiyuan Cheng

Who trusts Scott A. Hale overall

  1. Bertie Vidgen
  2. David Jurgens
  3. Paul Röttger

Papers from Scott A. Hale's perspective

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

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

Their papers