Ali El-Kahky

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ali El-Kahky trusts overall

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

  1. Christopher D. Manning
  2. Jeffrey Pennington
  3. Jan Niehues
  4. Eliyahu Kiperwasser
  5. Richard Socher
  6. Slav Petrov
  7. Michael Collins
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Kristina Toutanova

Who trusts Ali El-Kahky overall

  1. Akari Asai
  2. Kyle Gorman
  3. Charles Lovering
  4. Nafise Sadat Moosavi
  5. Hannaneh Hajishirzi
  6. Steven Bedrick
  7. Rohan Jha
  8. M. Boer

Papers from Ali El-Kahky's perspective

Ordered by how strongly the researchers Ali El-Kahky trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers