Caroline De Brun

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Caroline De Brun trusts overall

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

  1. Philipp Koehn
  2. Franz Joseph Och
  3. Thomas G. Dietterich
  4. Robert E. Schapire
  5. Andreas Stolcke
  6. Kenneth Heafield
  7. Mauro Cettolo
  8. Francisco Manuel Rangel Pardo
  9. Stanley F. Chen
  10. Gene H. Golub

Who trusts Caroline De Brun overall

  1. Federico Bianchi

Papers from Caroline De Brun's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  3. An Empirical Study of Smoothing Techniques for Language Modeling
  4. Efficient Estimation of Word Representations in Vector Space
  5. Language Models are Unsupervised Multitask Learners
  6. SRILM - an extensible language modeling toolkit
  7. Statistical Phrase-Based Translation
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Minimum Error Rate Training in Statistical Machine Translation
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers