Rémi Lebret

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 7 papers; trusts 535 researchers and is trusted by 91 researchers here, as inferred from the citation graph.

Subfields

Whom Rémi Lebret trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Tomas Mikolov
  5. Oriol Vinyals
  6. Ilya Sutskever
  7. Andrej Karpathy
  8. Alex Krizhevsky
  9. Christopher D. Manning
  10. Ruslan Salakhutdinov

Who trusts Rémi Lebret overall

  1. Laura Perez-Beltrachini
  2. Lei Sha
  3. Tianyu Liu
  4. Sam Wiseman
  5. Hamidreza Shahidi
  6. Mirella Lapata
  7. Ratish Puduppully
  8. Zhiyu Chen
  9. Ankur P. Parikh
  10. Jiuxiang Gu

Papers from Rémi Lebret's perspective

Ordered by how strongly the researchers Rémi Lebret 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers