John Bohannon

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 59 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom John Bohannon trusts overall

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

  1. Chin-Yew Lin
  2. Günes Erkan
  3. Annie Louis
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Alec Radford
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Karl Moritz Hermann
  10. Ani Nenkova

Who trusts John Bohannon overall

  1. Neslihan Iskender
  2. Rowan Zellers

Papers from John Bohannon's perspective

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

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

Their papers