Olivier Raiman

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Raiman trusts overall

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

  1. Xiao Ling
  2. Reuven Y. Rubinstein
  3. Ikuya Yamada
  4. Jia Deng
  5. David N. Milne
  6. Paolo Ferragina
  7. Jayant Krishnamurthy
  8. Yoon Kim
  9. Daniel S. Weld
  10. Hiroyuki Shindo

Who trusts Olivier Raiman overall

  1. Benjamin Heinzerling
  2. Jeffrey Ling
  3. Kentaro Inui

Papers from Olivier Raiman's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers