Emily Allaway

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emily Allaway trusts overall

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

  1. Diederik P. Kingma
  2. Ashish Vaswani
  3. Jeffrey Pennington
  4. Jimmy Ba
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Jacob Devlin
  8. Richard Socher
  9. Swapna Somasundaran
  10. Christopher D. Manning

Who trusts Emily Allaway overall

  1. Ruiqi Zhong

Papers from Emily Allaway's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers