Rémi Leblond

Artificial Intelligence · 2016–2025

A researcher in the Science corpus: 10 papers; trusts 188 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Rémi Leblond trusts overall

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

  1. Mark W. Schmidt
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Francis R. Bach
  5. Ilya Sutskever
  6. Dimitri P. Bertsekas
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Dzmitry Bahdanau

Who trusts Rémi Leblond overall

  1. Sebastian U. Stich
  2. Dmitry Grishchenko
  3. Lam M. Nguyen
  4. Fabian Pedregosa
  5. Franck Iutzeler
  6. Konstantin Mishchenko
  7. Simon Lacoste-Julien
  8. Weijia Xu
  9. Sean Welleck
  10. Jakub Konecný

Papers from Rémi Leblond's perspective

Ordered by how strongly the researchers Rémi Leblond 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers