Ali Hosseinzadeh Vahid

Natural Language Processing · 2014

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Hosseinzadeh Vahid trusts overall

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

  1. Philipp Koehn
  2. Franz Joseph Och
  3. Tomas Mikolov
  4. Andreas Stolcke
  5. Yoshua Bengio
  6. Hermann Ney
  7. Reinhard Kneser
  8. Geoffrey E. Hinton
  9. Hany Hassan
  10. Yoshimasa Tsuruoka

Papers from Ali Hosseinzadeh Vahid's perspective

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

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

Their papers