Hany Hassan
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 8 papers; trusts 150 researchers and is trusted by 298 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 113 citations into it; #1,313 of 35,345 by trust here, #2,810 by citations
- Natural Language Processing — 94 citations into it; #1,943 of 5,688 by trust here, #1,161 by citations
- Computer Vision and Pattern Recognition — 64 citations into it; #2,522 of 21,575 by trust here, #2,253 by citations
- Model Architectures — 27 citations into it
- Evaluation & Benchmarks — 20 citations into it
- Large Language Models — 14 citations into it
- Optimization & Training — 12 citations into it
Whom Hany Hassan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Dzmitry Bahdanau
- Ilya Sutskever
- Geoffrey E. Hinton
- Kyunghyun Cho
- Jimmy Ba
- Rico Sennrich
- Alex Krizhevsky
- Alex Graves
Who trusts Hany Hassan overall
- Yoav Goldberg
- Graham Neubig
- Ankur P. Parikh
- Peter Anderson
- Isaac Caswell
- David Grangier
- Yoshua Bengio
- Abigail See
- Angela Fan
- Pierre Colombo
Papers from Hany Hassan's perspective
Ordered by how strongly the researchers Hany Hassan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Statistical Machine Translation (2014) — 1,705 citations
- Achieving Human Parity on Automatic Chinese to English News Translation (2018) — 645 citations
- Universal Neural Machine Translation for Extremely Low Resource Languages (2018) — 304 citations
- Statistical machine translation (2017) — 10 citations
- Taming Sparsely Activated Transformer with Stochastic Experts (2021) — 152 citations
- Selecting, Planning, and Rewriting: A Modular Approach for Data-to-Document Generation and Translation (2019) — 8 citations
- Gender aware spoken language translation applied to English-Arabic (2018) — 47 citations
- Synthetic Data for Neural Machine Translation of Spoken-Dialects (2017) — 23 citations