Louay Hazami

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Louay Hazami trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Arash Vahdat
  5. Alex Krizhevsky
  6. Rewon Child
  7. Tim Salimans
  8. Jimmy Ba
  9. Kaiming He
  10. Yann LeCun

Who trusts Louay Hazami overall

  1. Siyu Wang
  2. Shuang Li
  3. Jianfei Chen
  4. Yilun Du

Papers from Louay Hazami's perspective

Ordered by how strongly the researchers Louay Hazami 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers