Tamer Alkhouli

Natural Language Processing · 2014–2018

A researcher in the Science corpus: 4 papers; trusts 75 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 77 citations into it; #3,389 of 5,688 by trust here, #4,793 by citations
• Artificial Intelligence — 72 citations into it; #13,482 of 35,345 by trust here, #13,163 by citations
• Computer Vision and Pattern Recognition — 27 citations into it; #12,317 of 21,575 by trust here, #12,419 by citations
• Model Architectures — 26 citations into it
• Optimization & Training — 12 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Large Language Models — 10 citations into it

Whom Tamer Alkhouli trusts overall

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

1. Franz Joseph Och
2. Yoshua Bengio
3. Rico Sennrich
4. Sepp Hochreiter
5. Philipp Koehn
6. Diederik P. Kingma
7. Geoffrey E. Hinton
8. J. Urgen Schmidhuber
9. Kyunghyun Cho
10. Dzmitry Bahdanau

Who trusts Tamer Alkhouli overall

1. Albert Zeyer
2. Melissa Roemmele
3. Hermann Ney
4. Kazuki Irie
5. Jan-Thorsten Peter
6. Kaisheng Yao
7. Álvaro Peris
8. Ralf Schlüter
9. Markus Freitag
10. Christoph Lüscher

Papers from Tamer Alkhouli's perspective

Ordered by how strongly the researchers Tamer Alkhouli 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Translation Modeling with Bidirectional Recurrent Neural Networks (2014) — 195 citations
• RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition (2018) — 96 citations
• The QT21/HimL Combined Machine Translation System (2016) — 17 citations
• The RWTH Aachen University English-Romanian Machine Translation System for WMT 2016 (2016) — 3 citations