Katherine Young

Natural Language Processing · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Katherine Young trusts overall

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

  1. Philipp Koehn
  2. Nadir Durrani
  3. Kenneth Heafield
  4. Peter F. Brown
  5. Michel Galley
  6. Christopher D. Manning
  7. Ilya Sutskever
  8. Andreas Stolcke
  9. Qin Gao
  10. Ondrej Bojar

Papers from Katherine Young's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. ImageNet classification with deep convolutional neural networks
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Gradient-based learning applied to document recognition

Their papers