Lazhar Khelifi

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 215 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lazhar Khelifi trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Kaiming He
  5. Karen Simonyan
  6. Yann LeCun
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. David D. Lewis
  10. Diederik P. Kingma

Papers from Lazhar Khelifi's perspective

Ordered by how strongly the researchers Lazhar Khelifi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers