Julien Leblay

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julien Leblay trusts overall

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

  1. Steffen Rendle
  2. Yehuda Koren
  3. Maximilian Nickel
  4. Richard Socher
  5. Antoine Bordes
  6. Lars Schmidt-Thieme
  7. Volker Tresp
  8. Christopher D. Manning
  9. Danqi Chen
  10. Geoffrey E. Hinton

Who trusts Julien Leblay overall

  1. Woojeong Jin
  2. Seyed Mehran Kazemi
  3. Alberto García-Durán
  4. Rishab Goel
  5. Sebastijan Dumancic
  6. Kshitij Jain
  7. Xiang Ren
  8. Meng Qu
  9. Changlin Zhang
  10. Ivan Kobyzev

Papers from Julien Leblay's perspective

Ordered by how strongly the researchers Julien Leblay 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers