Ryad Benadjila

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ryad Benadjila trusts overall

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

  1. Christian Szegedy
  2. Eric R. Ziegel
  3. Alex Krizhevsky
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Yoshua Bengio
  8. Corinna Cortes
  9. Ilya Sutskever
  10. Radford M. Neal

Papers from Ryad Benadjila's perspective

Ordered by how strongly the researchers Ryad Benadjila trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers