Lauriane Aufrant

Natural Language Processing · 2016

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lauriane Aufrant trusts overall

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

  1. Andreas Stolcke
  2. Kenneth Heafield
  3. Ulrich Germann
  4. Anthony Rousseau
  5. Christoph Tillmann
  6. Colin Cherry
  7. Robert C. Moore
  8. Hang Le
  9. Chris Dyer

Who trusts Lauriane Aufrant overall

  1. Matthias Huck

Papers from Lauriane Aufrant's perspective

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

  1. Long Short-Term Memory
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  4. Neural Machine Translation of Rare Words with Subword Units
  5. Improving Neural Machine Translation Models with Monolingual Data
  6. Minimum Error Rate Training in Statistical Machine Translation
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. SRILM - an extensible language modeling toolkit
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers