Jan-Thorsten Peter

Natural Language Processing · 2007–2017

A researcher in the Science corpus: 7 papers; trusts 61 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Jan-Thorsten Peter trusts overall

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

  1. Franz Joseph Och
  2. Philipp Koehn
  3. Kenneth Heafield
  4. Michel Galley
  5. Sepp Hochreiter
  6. Hermann Ney
  7. Martin Sundermeyer
  8. Matthew G. Snover
  9. David Chiang
  10. Rico Sennrich

Who trusts Jan-Thorsten Peter overall

  1. Tao Lei
  2. Jörg Tiedemann
  3. Franck Burlot
  4. Ondrej Bojar
  5. Yu Zhang
  6. M. V. Koroteev
  7. Sébastien Jean
  8. Rico Sennrich
  9. Jan Niehues
  10. Anoop Kunchukuttan

Papers from Jan-Thorsten Peter's perspective

Ordered by how strongly the researchers Jan-Thorsten Peter 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database

Their papers