Maxime Cauchois

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Maxime Cauchois trusts overall

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

  1. Alex Krizhevsky
  2. Vladimir G Vovk
  3. Kaiming He
  4. Daphne Koller
  5. Jia Deng
  6. Yaniv Romano
  7. John C. Duchi
  8. E.J. Candes
  9. Geoffrey E. Hinton
  10. Christian Szegedy

Who trusts Maxime Cauchois overall

  1. Yaniv Romano
  2. Anastasios Nikolas Angelopoulos
  3. Stephen Bates
  4. Matteo Sesia
  5. E.J. Candes
  6. Tal Schuster

Papers from Maxime Cauchois's perspective

Ordered by how strongly the researchers Maxime Cauchois 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers