Xavier Renard

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Renard trusts overall

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

  1. Yann LeCun
  2. Riccardo Guidotti
  3. Cynthia Rudin
  4. David Martens
  5. Thibault Laugel
  6. Ryan D. Turner
  7. Yoshua Bengio
  8. L. Eon Bottou
  9. Geoffrey E. Hinton
  10. Satoshi Hara

Who trusts Xavier Renard overall

  1. Kacper Sokol
  2. Nadia Burkart
  3. Thibault Laugel
  4. Ilia Stepin

Papers from Xavier Renard's perspective

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

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

Their papers