Julia Strout

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julia Strout trusts overall

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

  1. Steven Bird
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Omar Zaidan
  5. Ye Zhang
  6. Pei-Yun Hsueh
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Julia Strout overall

  1. Sarah Wiegreffe
  2. Sarthak Jain
  3. Alon Jacovi
  4. Jay DeYoung

Papers from Julia Strout's perspective

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

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