Teresa Herrmann

Natural Language Processing · 2012–2015

A researcher in the Science corpus: 7 papers; trusts 44 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Teresa Herrmann trusts overall

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

  1. Franz Joseph Och
  2. Philipp Koehn
  3. Andreas Stolcke
  4. Michael C. McCord
  5. Michael Collins
  6. Kenneth Heafield
  7. Daniel Klein
  8. Kenji Yamada
  9. Andreas Zollmann
  10. Hang Le

Who trusts Teresa Herrmann overall

  1. Jan Niehues
  2. Quoc-Khanh Do
  3. Eunah Cho
  4. Ondrej Bojar
  5. Markus Freitag
  6. Thanh-Le Ha
  7. A. Waibel
  8. Rajen Chatterjee
  9. Stephan Peitz
  10. Joern Wuebker

Papers from Teresa Herrmann's perspective

Ordered by how strongly the researchers Teresa Herrmann 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. 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. Bleu: a Method for Automatic Evaluation of Machine Translation
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers