Fabrice Normandin

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fabrice Normandin trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Graves
  6. Yann LeCun
  7. Timothée Lesort
  8. Kaiming He
  9. Ilya Sutskever
  10. J. Urgen Schmidhuber

Who trusts Fabrice Normandin overall

  1. Martin Mundt
  2. Sam Powers

Papers from Fabrice Normandin's perspective

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

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

Their papers