Mathias Humbert

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 53 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Mathias Humbert trusts overall

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

  1. Cynthia Dwork
  2. Toon Calders
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Kaiming He
  6. Salvatore Ruggieri
  7. Faisal Kamiran
  8. Ross B. Girshick
  9. Reza Shokri
  10. Yann LeCun

Who trusts Mathias Humbert overall

  1. Liwei Song
  2. Congzheng Song
  3. Bargav Jayaraman
  4. Yang Zhang
  5. Reza Shokri
  6. Ahmed Salem
  7. Zheng Li
  8. Nicholas Carlini
  9. Maria Rigaki

Papers from Mathias Humbert's perspective

Ordered by how strongly the researchers Mathias Humbert 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  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