Olivier B. Poirion

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier B. Poirion trusts overall

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

  1. Yoshua Bengio
  2. Peter J. Rousseeuw
  3. Jerome H. Friedman
  4. Mathieu Bastian
  5. Pan Du
  6. Michael I. Love
  7. Christof Angermueller
  8. Lujia Chen
  9. Riccardo Miotto
  10. Trevor J. Hastie

Who trusts Olivier B. Poirion overall

  1. Nimrod Rappoport
  2. Ken Asada
  3. Wan Zhu

Papers from Olivier B. Poirion's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Learning Deep Architectures for AI
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet: A large-scale hierarchical image database

Their papers