Daniel Bär

Natural Language Processing · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Bär trusts overall

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

  1. Dekang Lin
  2. Philip Resnik
  3. Philipp Koehn
  4. Rada Mihalcea
  5. Ido Dagan
  6. Dekang Lin
  7. Andrei Z. Broder
  8. Evgeniy Gabrilovich
  9. David A. Ferrucci
  10. T. Landauer

Who trusts Daniel Bär overall

  1. Aliaksei Severyn
  2. Ergun Biçici
  3. Steven Burrows
  4. Tao Lei
  5. Daniel Matthew Cer
  6. Iryna Gurevych
  7. Tom Kenter
  8. Tomas Brychcin
  9. Eneko Agirre
  10. Md Arafat Sultan

Papers from Daniel Bär's perspective

Ordered by how strongly the researchers Daniel Bär 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. ImageNet classification with deep convolutional neural networks
  9. Efficient Estimation of Word Representations in Vector Space
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers