Benoit Favre

Artificial Intelligence · 2009–2015

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Benoit Favre trusts overall

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

  1. Ryan T. McDonald
  2. Chin-Yew Lin
  3. Ani Nenkova
  4. C. Burges
  5. Jaime G. Carbonell
  6. Kevin Knight
  7. James Clarke
  8. Robert E. Schapire
  9. D. Gillick
  10. J. Goldstein

Who trusts Benoit Favre overall

  1. Maxime Peyrard
  2. Natalie Schluter
  3. Kai Hong
  4. Taylor Berg-Kirkpatrick
  5. Fei Liu
  6. Yen-Chun Chen
  7. Katja Filippova
  8. Annie Louis
  9. Iryna Gurevych
  10. Ani Nenkova

Papers from Benoit Favre's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ROUGE: A Package for Automatic Evaluation of Summaries
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers