Farzad Toutounchi

Natural Language Processing · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Farzad Toutounchi trusts overall

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

  1. Franz Joseph Och
  2. Philipp Koehn
  3. Kenneth Heafield
  4. Hermann Ney
  5. Michel Galley
  6. Matthew G. Snover
  7. Christoph Tillmann
  8. Andreas Stolcke
  9. Sepp Hochreiter
  10. Christopher D. Manning

Who trusts Farzad Toutounchi overall

  1. Tao Lei
  2. Yu Zhang
  3. Sébastien Jean

Papers from Farzad Toutounchi's perspective

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

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

Their papers