Hussein Hazimeh

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hussein Hazimeh trusts overall

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

  1. Diederik P. Kingma
  2. Cynthia Dwork
  3. Geoffrey E. Hinton
  4. Jerome H. Friedman
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Michael I. Jordan
  8. Yoshua Bengio
  9. Yann LeCun
  10. Kaiming He

Who trusts Hussein Hazimeh overall

  1. Ravid Shwartz-Ziv
  2. Natalia Ponomareva
  3. Amitai Armon

Papers from Hussein Hazimeh's perspective

Ordered by how strongly the researchers Hussein Hazimeh 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  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