Navid Yaghmazadeh

Natural Language Processing · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 22 citations into it; #3,647 of 5,688 by trust here, #3,826 by citations
• Artificial Intelligence — 20 citations into it; #21,361 of 35,345 by trust here, #19,439 by citations
• Information Systems — 18 citations into it; #4,578 of 8,771 by trust here, #3,198 by citations
• Software — 14 citations into it; #706 of 1,227 by trust here, #456 by citations
• Code Generation & Program Synthesis — 7 citations into it
• Computational Theory and Mathematics — 7 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Navid Yaghmazadeh trusts overall

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

1. Sumit Gulwani
2. James A. Jones
3. John K. Feser
4. J. Ross Quinlan
5. Rastislav Bodík
6. Percy Liang
7. Fan Long
8. Oleksandr Polozov
9. Raymond J. Mooney
10. Fei Li

Who trusts Navid Yaghmazadeh overall

1. Tao Yu
2. Li Dong
3. Byeong-Hoon So
4. Xiaojun Xu
5. Christopher Baik
6. Kensen Shi
7. Yanxin Lu
8. Naihao Deng
9. Rohan Bavishi
10. Rui Zhang

Papers from Navid Yaghmazadeh's perspective

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

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

Their papers

• SQLizer: query synthesis from natural language (2017) — 336 citations
• Synthesizing transformations on hierarchically structured data (2016) — 59 citations