Mohamed Yahya

Artificial Intelligence · with Berberich · 2012–2018

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it; #30,276 of 35,345 by trust here, #24,417 by citations
• Natural Language Processing — 39 citations into it; #4,312 of 5,688 by trust here, #3,638 by citations
• Information Retrieval & Search — 17 citations into it; #859 of 1,022 by trust here, #559 by citations
• Information Systems — 12 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it; #18,607 of 21,575 by trust here, #18,782 by citations
• Computer Networks and Communications — 6 citations into it

Whom Mohamed Yahya trusts overall

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

1. Ellen M. Voorhees
2. Johannes Hoffart
3. Roberto Navigli
4. Aria Haghighi
5. Tomas Mikolov
6. David N. Milne
7. Lynette Hirschman
8. Fabian M. Suchanek
9. Mike D. Mintz
10. Cody C. T. Kwok

Who trusts Mohamed Yahya overall

1. Antoine Bordes
2. Uma Sawant
3. Xuchen Yao
4. Jonathan Berant
5. Tom Kwiatkowski
6. Eunsol Choi
7. Luke S. Zettlemoyer
8. Jason Aaron Edward Weston
9. Nicolas Usunier
10. Huan Sun

Papers from Mohamed Yahya's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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. Gradient-based learning applied to document recognition

Their papers

• ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters (2018) — 70 citations
• Generating Quiz Questions from Knowledge Graphs (2015) — 36 citations
• ReNoun: Fact Extraction for Nominal Attributes (2014) — 104 citations
• Natural Language Questions for the Web of Data (2012) — 224 citations