Ahmed Elgohary
Artificial Intelligence · 2012–2021
A researcher in the Science corpus: 10 papers; trusts 326 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 197 citations into it; #5,212 of 35,345 by trust here, #4,231 by citations
- Natural Language Processing — 185 citations into it; #1,206 of 5,688 by trust here, #1,150 by citations
- Computer Vision and Pattern Recognition — 62 citations into it; #14,520 of 21,575 by trust here, #17,757 by citations
- Representation & Self-Supervised Learning — 32 citations into it; #1,759 of 3,145 by trust here, #2,178 by citations
- Evaluation & Benchmarks — 30 citations into it
- Information Systems — 26 citations into it; #5,671 of 8,771 by trust here, #4,188 by citations
- Safety, Robustness & Interpretability — 20 citations into it; #1,869 of 2,251 by trust here, #816 by citations
- Model Architectures — 12 citations into it
Whom Ahmed Elgohary trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Richard Socher
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ilya Sutskever
- Christopher D. Manning
- Alex Krizhevsky
- Jeffrey Pennington
- Sepp Hochreiter
- Yann LeCun
Who trusts Ahmed Elgohary overall
- Alex Warstadt
- Yonatan Belinkov
- Svitlana Vakulenko
- Samuel R. Bowman
- Jordan L. Boyd-Graber
- Niket Tandon
- Banghao Chen
- Ellie Pavlick
- Zhuang Li
- R. Anantha
Papers from Ahmed Elgohary's perspective
Ordered by how strongly the researchers Ahmed Elgohary trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Generating Natural Language Adversarial Examples (2018) — 1,038 citations
- Probing for semantic evidence of composition by means of simple classification tasks (2016) — 168 citations
- Assessing Composition in Sentence Vector Representations (2018) — 84 citations
- NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction (2021) — 53 citations
- Construction of the Literature Graph in Semantic Scholar (2018) — 442 citations
- Can You Unpack That? Learning to Rewrite Questions-in-Context (2019) — 242 citations
- Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback (2020) — 81 citations
- A dataset and baselines for sequential open-domain question answering (2018) — 47 citations
- No need to war-drive: unsupervised indoor localization (2012) — 870 citations
- Learning Monolingual Compositional Representations via Bilingual Supervision (2016)