Guillaume Bouchard

Artificial Intelligence · 2004–2018

A researcher in the Science corpus: 11 papers; trusts 85 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Guillaume Bouchard trusts overall

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

  1. Maximilian Nickel
  2. Ruslan Salakhutdinov
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Michael I. Jordan
  6. Antoine Bordes
  7. Tommi S. Jaakkola
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Andrew Y. Ng

Who trusts Guillaume Bouchard overall

  1. Percy Liang
  2. Hugo Larochelle
  3. Théo Trouillon
  4. Maximilian Nickel
  5. Stefan Wager
  6. Oksana Yakhnenko
  7. Julia A. Lasserre
  8. Yoshua Bengio
  9. Sebastian Riedel
  10. Zhiqing Sun

Papers from Guillaume Bouchard's perspective

Ordered by how strongly the researchers Guillaume Bouchard 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers