Ahmed Y. Tawfik

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Natural Language Processing — 15 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 6 citations into it

Whom Ahmed Y. Tawfik trusts overall

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

1. Jörg Tiedemann
2. Dzmitry Bahdanau
3. Ilya Sutskever
4. Diederik P. Kingma
5. Yoshua Bengio
6. Kyunghyun Cho
7. Rico Sennrich
8. Geoffrey E. Hinton
9. Oriol Vinyals
10. Jimmy Ba

Who trusts Ahmed Y. Tawfik overall

1. Nizar Habash
2. Emily Sheng

Papers from Ahmed Y. Tawfik's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
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

• Gender aware spoken language translation applied to English-Arabic (2018) — 47 citations
• Synthetic Data for Neural Machine Translation of Spoken-Dialects (2017) — 23 citations