Daoud Clarke

Natural Language Processing · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Daoud Clarke trusts overall

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

  1. Ido Dagan
  2. Dekang Lin
  3. Oren Glickman
  4. Dominic Widdows
  5. Thomas Hofmann
  6. T. Landauer
  7. George A. Miller
  8. K. Erk
  9. Diana McCarthy
  10. Jordan L. Boyd-Graber

Who trusts Daoud Clarke overall

  1. Stephen Clark
  2. Peter D. Turney
  3. Aurélie Herbelot
  4. Ion Androutsopoulos
  5. Nal Kalchbrenner
  6. Omer Levy
  7. Peter Young
  8. Lili Kotlerman
  9. K. Erk
  10. Ruiji Fu

Papers from Daoud Clarke's perspective

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

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

Their papers