Mohamed Chetouani

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 7 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed Chetouani trusts overall

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

  1. Richard S. Sutton
  2. Magnús Magnússon
  3. Ruth Feldman
  4. S. Branavan
  5. Morgan Quigley
  6. Andrew Barto
  7. Patricia K. Kuhl
  8. W. B. Knox
  9. Jessica L. Lakin
  10. Alexander Strehl

Papers from Mohamed Chetouani's perspective

Ordered by how strongly the researchers Mohamed Chetouani 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers