Diana McCarthy

Natural Language Processing · 2004–2016

A researcher in the Science corpus: 6 papers; trusts 23 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Diana McCarthy trusts overall

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

  1. Dekang Lin
  2. Adam Kilgarriff
  3. Geoffrey Leech
  4. Beth Levin
  5. Ted Briscoe
  6. Bernardo Magnini
  7. Roberto Navigli
  8. John A. Carroll
  9. Julie Weeds
  10. Yee Whye Teh

Who trusts Diana McCarthy overall

  1. Oren Melamud
  2. K. Erk
  3. Roberto Navigli
  4. Mirella Lapata
  5. Deniz Yuret
  6. Ido Dagan
  7. Daoud Clarke
  8. Sebastian Padó
  9. Jeff Mitchell
  10. Kazuya Kawakami

Papers from Diana McCarthy's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers