Hugo Laurenccon

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hugo Laurenccon trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Ilya Sutskever
  7. Kenneth Heafield
  8. Yann LeCun
  9. Pedro Ortiz Suarez
  10. Alex Graves

Who trusts Hugo Laurenccon overall

  1. Marc Marone
  2. Hugo Laurençon
  3. Chameleon Team
  4. Siddharth Karamcheti
  5. Stella Biderman
  6. Shengbang Tong
  7. Jiasen Lu
  8. Léo Tronchon
  9. Benjamin Van Durme

Papers from Hugo Laurenccon's perspective

Ordered by how strongly the researchers Hugo Laurenccon 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. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers