François Mairesse

Artificial Intelligence · 2007–2011

A researcher in the Science corpus: 8 papers; trusts 35 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom François Mairesse trusts overall

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

  1. Ehud Reiter
  2. Marilyn A. Walker
  3. Matthias R. Mehl
  4. Samuel D. Gosling
  5. Robert E. Schapire
  6. Susannah Young
  7. Paul P. G. Boersma
  8. Martin J. Pickering
  9. L. R. Goldberg
  10. Lawrence R. Rabiner

Who trusts François Mairesse overall

  1. Ondrej Dusek
  2. Van-Khanh Tran
  3. Shereen Oraby
  4. Jekaterina Novikova
  5. Lena Reed
  6. Verena Rieser
  7. Marilyn A. Walker
  8. Filip Jurcícek
  9. Jennifer Golbeck
  10. Albert Gatt

Papers from François Mairesse's perspective

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

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

Their papers