Nicolas Courty

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 6 papers; trusts 362 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Courty trusts overall

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

  1. Marco Cuturi
  2. Cédric Villani
  3. Philip A. Knight
  4. Chang Wang
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Shai Ben-David
  8. Yoshua Bengio
  9. Kaiming He
  10. Yann LeCun

Who trusts Nicolas Courty overall

  1. Mohammad Rostami
  2. Han-Jia Ye
  3. Soheil Kolouri
  4. Yuchen Zhang
  5. Rémi Flamary
  6. Serban Stan
  7. Gabriella Csurka
  8. Han Zhao
  9. Bharath Bhushan Damodaran
  10. Mingsheng Long

Papers from Nicolas Courty's perspective

Ordered by how strongly the researchers Nicolas Courty 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Learning Multiple Layers of Features from Tiny Images

Their papers