Pierre-Louis Guhur

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 233 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre-Louis Guhur trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Richard S. Sutton
  9. Jimmy Ba
  10. Ross B. Girshick

Who trusts Pierre-Louis Guhur overall

  1. Xin Ye
  2. Gengze Zhou

Papers from Pierre-Louis Guhur's perspective

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

Their papers