Ghodai M. Abdelrahman

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Science Applications — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Natural Language Processing — 7 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Model Architectures — 5 citations into it

Whom Ghodai M. Abdelrahman trusts overall

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

1. Yoshua Bengio
2. Alex Graves
3. Geoffrey E. Hinton
4. Albert T. Corbett
5. Zachary Chase Lipton
6. Christine E. DeMars
7. K. Koedinger
8. J. Urgen Schmidhuber
9. Dzmitry Bahdanau
10. Ilya Sutskever

Papers from Ghodai M. Abdelrahman's perspective

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

Their papers

• Knowledge Tracing: A Survey (2022) — 395 citations