Laura Strickhart

Natural Language Processing · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Laura Strickhart trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Tomas Mikolov
  4. Danqi Chen
  5. Christopher D. Manning
  6. Wojciech Zaremba
  7. Geoffrey E. Hinton
  8. Jimmy Ba

Papers from Laura Strickhart's perspective

Ordered by how strongly the researchers Laura Strickhart 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers