Stephan Peitz

Natural Language Processing · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Stephan Peitz trusts overall

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

  1. Philipp Koehn
  2. Franz Joseph Och
  3. Kenneth Heafield
  4. Hermann Ney
  5. Nadir Durrani
  6. Rico Sennrich
  7. Andreas Stolcke
  8. Michel Galley
  9. Yoshua Bengio
  10. Michael Collins

Who trusts Stephan Peitz overall

  1. Zi-Yi Dou
  2. Alessandro Raganato
  3. Jan-Thorsten Peter
  4. Masoud Jalili Sabet

Papers from Stephan Peitz's perspective

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

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

Their papers