Emily Johnston

Information Systems · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Emily Johnston trusts overall

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

  1. Sepp Hochreiter
  2. Dzmitry Bahdanau
  3. Ilya Sutskever

Papers from Emily Johnston's perspective

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

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers