Aurélien Max

Natural Language Processing · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aurélien Max trusts overall

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

  1. Andreas Stolcke
  2. Kenneth Heafield
  3. Stanley F. Chen
  4. Reinhard Kneser
  5. Colin Cherry
  6. Chris Dyer
  7. Philipp Koehn
  8. Hermann Ney
  9. Joshua Goodman
  10. Benjamin Marie

Papers from Aurélien Max's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. An Empirical Study of Smoothing Techniques for Language Modeling
  9. A Neural Probabilistic Language Model
  10. Minimum Error Rate Training in Statistical Machine Translation

Their papers