James Richard Curran

Artificial Intelligence · 2003–2013

A researcher in the Science corpus: 9 papers; trusts 74 researchers and is trusted by 90 researchers here, as inferred from the citation graph.

Subfields

Whom James Richard Curran trusts overall

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

  1. Peter D. Turney
  2. Ted Briscoe
  3. Ellen Riloff
  4. Christopher D. Manning
  5. Marti A. Hearst
  6. Beth Levin
  7. Thorsten Brants
  8. Stephen Clark
  9. Michael Collins
  10. John A. Carroll

Who trusts James Richard Curran overall

  1. Stephen Clark
  2. Edward Grefenstette
  3. Karl Moritz Hermann
  4. Lasha Abzianidze
  5. Phil Blunsom
  6. Laura Rimell
  7. Tamara Polajnar
  8. Johan Bos
  9. Chris Biemann
  10. Nikolaos Aletras

Papers from James Richard Curran's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet: A large-scale hierarchical image database
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers