Omar Abou Khaled

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Natural Language Processing — 25 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Large Language Models — 14 citations into it
• Human-Computer Interaction — 6 citations into it
• Model Architectures — 6 citations into it

Whom Omar Abou Khaled trusts overall

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

1. Alec Radford
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Sepp Hochreiter
5. Tomas Mikolov
6. Diederik P. Kingma
7. Ilya Sutskever
8. Kyunghyun Cho
9. Alex Krizhevsky
10. J. Urgen Schmidhuber

Papers from Omar Abou Khaled's perspective

Ordered by how strongly the researchers Omar Abou Khaled 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
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

• A Survey of Datasets for Human Gesture Recognition (2014) — 54 citations
• Overview of the Transformer-based Models for NLP Tasks (2020) — 412 citations