Khaled Kamal Saab

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Khaled Kamal Saab trusts overall

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

  1. Albert Gu
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Jimmy Ba
  6. Alex Krizhevsky
  7. Tri Dao
  8. Sepp Hochreiter
  9. Ilya Sutskever
  10. Yann LeCun

Papers from Khaled Kamal Saab's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers