John Hewitt

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 9 papers; trusts 273 researchers and is trusted by 196 researchers here, as inferred from the citation graph.

Subfields

Whom John Hewitt trusts overall

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

  1. Diederik P. Kingma
  2. Yonatan Belinkov
  3. Geoffrey E. Hinton
  4. Matthew E. Peters
  5. Yoshua Bengio
  6. Jimmy Ba
  7. Ilya Sutskever
  8. Christopher D. Manning
  9. Alex Krizhevsky
  10. Mitchell P. Marcus

Who trusts John Hewitt overall

  1. Yonatan Belinkov
  2. Tiago Pimentel
  3. Michael R Douglas
  4. Boshi Wang
  5. Yanai Elazar
  6. Christopher D. Manning
  7. Shauli Ravfogel
  8. Kawin Ethayarajh
  9. Zining Zhu
  10. Tianyi Zhang

Papers from John Hewitt's perspective

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

Their papers