Olivier Bonami

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Bonami trusts overall

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

  1. Ivan A. Sag
  2. Greville Corbett
  3. Marco Baroni
  4. Jean-Pierre Koenig
  5. A. Thornton
  6. Tomas Mikolov
  7. Mark Steedman
  8. Joan Bresnan
  9. Geert Booij
  10. A. Sorace

Papers from Olivier Bonami's perspective

Ordered by how strongly the researchers Olivier Bonami 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. ImageNet classification with deep convolutional neural networks
  4. Efficient Estimation of Word Representations in Vector Space
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers