Saadia Gabriel

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 6 papers; trusts 106 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Saadia Gabriel trusts overall

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

  1. Chin-Yew Lin
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Alec Radford
  8. Kyunghyun Cho
  9. Yann LeCun
  10. Oriol Vinyals

Who trusts Saadia Gabriel overall

  1. Maarten Sap
  2. Sebastian Gehrmann
  3. Caleb Ziems
  4. Anjalie Field
  5. Yuheng Zha
  6. Yulia Tsvetkov
  7. Svetlana Kiritchenko
  8. Denis Emelin
  9. Esin Durmus
  10. Yejin Choi

Papers from Saadia Gabriel's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers