Alexander Yates

Artificial Intelligence · 2004–2013

A researcher in the Science corpus: 7 papers; trusts 67 researchers and is trusted by 112 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Yates trusts overall

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

  1. Peter D. Turney
  2. Hal Daumé Iii
  3. Lawrence R. Rabiner
  4. Lev-Arie Ratinov
  5. Dekang Lin
  6. Hoifung Poon
  7. Michael I. Jordanzoubin
  8. Yoshua Bengio
  9. Dan Roth
  10. Geoffrey E. Hinton

Who trusts Alexander Yates overall

  1. Percy Liang
  2. Jonathan Berant
  3. Wen-tau Yih
  4. Saku Sugawara
  5. Antoine Bordes
  6. Eunsol Choi
  7. Luke S. Zettlemoyer
  8. Christopher De Sa
  9. Yoshua Bengio
  10. Gabor Angeli

Papers from Alexander Yates's perspective

Ordered by how strongly the researchers Alexander Yates 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. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers