Khalil Sima'an

Artificial Intelligence · 2005–2017

A researcher in the Science corpus: 9 papers; trusts 162 researchers and is trusted by 79 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it; #3,164 of 35,345 by trust here, #4,231 by citations
• Natural Language Processing — 80 citations into it; #1,475 of 5,688 by trust here, #2,407 by citations
• Computer Vision and Pattern Recognition — 45 citations into it; #4,498 of 21,575 by trust here, #3,747 by citations
• Evaluation & Benchmarks — 40 citations into it; #499 of 3,147 by trust here, #1,063 by citations
• Model Architectures — 15 citations into it
• Multimodal Learning — 9 citations into it; #199 of 1,211 by trust here, #423 by citations
• Graph Learning — 6 citations into it
• Molecular Biology — 5 citations into it

Whom Khalil Sima'an trusts overall

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

1. Philipp Koehn
2. Franz Joseph Och
3. Miloš Stanojević
4. Colin Cherry
5. Michael J. Denkowski
6. Yoshua Bengio
7. Mark Hopkins
8. Geoffrey E. Hinton
9. Chris Callison-Burch
10. Hideki Isozaki

Who trusts Khalil Sima'an overall

1. Desmond Elliott
2. Miloš Stanojević
3. Ananya B. Sai
4. Ozan Caglayan
5. Li Gong
6. Jean-Benoit Delbrouck
7. Jan Niehues
8. Po-Yao (Bernie) Huang
9. Chenhui Chu
10. Franck Burlot

Papers from Khalil Sima'an's perspective

Ordered by how strongly the researchers Khalil Sima'an 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. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
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

• Multi30K: Multilingual English-German Image Descriptions (2016) — 660 citations
• A Shared Task on Multimodal Machine Translation and Crosslingual Image Description (2016) — 255 citations
• Graph Convolutional Encoders for Syntax-aware Neural Machine Translation (2017) — 519 citations
• BEER: BEtter Evaluation as Ranking (2014) — 119 citations
• ILLC-UvA Adaptation System (Scorpio) at WMT’16 IT-DOMAIN Task (2016) — 4 citations
• Evaluating MT systems with BEER (2015) — 8 citations
• Fitting Sentence Level Translation Evaluation with Many Dense Features (2014) — 79 citations
• UvA-DARE ( Digital Academic Repository ) Latent Domain Translation Models in Mix-of-Domains Haystack (2014)
• Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship (2005) — 721 citations