Joe Barrow

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joe Barrow trusts overall

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

  1. Richard Socher
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Jeffrey Pennington
  5. Yoshua Bengio
  6. Christopher D. Manning
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Eneko Agirre
  10. Yann LeCun

Who trusts Joe Barrow overall

  1. Daniel Matthew Cer
  2. Mona T. Diab

Papers from Joe Barrow's perspective

Ordered by how strongly the researchers Joe Barrow 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  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. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  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