Alexandre Routier

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexandre Routier trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. John Ashburner
  6. Ian J. Goodfellow
  7. Stephen M. Smith
  8. Kaiming He
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Alexandre Routier overall

  1. Justin Riddle

Papers from Alexandre Routier's perspective

Ordered by how strongly the researchers Alexandre Routier 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. ImageNet: A large-scale hierarchical image database
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Dropout: a simple way to prevent neural networks from overfitting
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers