Wael Hamza

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 7 papers; trusts 355 researchers and is trusted by 67 researchers here, as inferred from the citation graph.

Subfields

Whom Wael Hamza trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Richard Socher
  6. Oriol Vinyals
  7. Sepp Hochreiter
  8. Alex Krizhevsky
  9. Jimmy Ba
  10. Zhiguo Wang

Who trusts Wael Hamza overall

  1. Yi Tay
  2. Linfeng Song
  3. Zhiguo Wang
  4. Minghao Hu
  5. Reza Ghaeini
  6. Yichen Gong
  7. Yixin Nie
  8. Tom Hosking
  9. Mohit Bansal
  10. Dinghan Shen

Papers from Wael Hamza's perspective

Ordered by how strongly the researchers Wael Hamza 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers