Hasan Hammoud

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 4 papers; trusts 206 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hasan Hammoud trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Yann LeCun
  7. Ilya Sutskever
  8. Ross B. Girshick
  9. Jimmy Ba
  10. Karen Simonyan

Papers from Hasan Hammoud's perspective

Ordered by how strongly the researchers Hasan Hammoud 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. 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers