Ayana

Natural Language Processing · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 62 citations into it; #2,801 of 5,688 by trust here, #3,369 by citations
• Artificial Intelligence — 59 citations into it; #19,663 of 35,345 by trust here, #20,377 by citations
• Computer Vision and Pattern Recognition — 23 citations into it; #12,383 of 21,575 by trust here, #14,822 by citations
• Model Architectures — 15 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Ayana trusts overall

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

1. Chin-Yew Lin
2. Kyunghyun Cho
3. Dzmitry Bahdanau
4. Yoshua Bengio
5. Franz Joseph Och
6. Alexander M. Rush
7. Sumit Chopra
8. Ilya Sutskever
9. Geoffrey E. Hinton
10. Oriol Vinyals

Who trusts Ayana overall

1. Ziqiang Cao
2. Leshem Choshen
3. Jun Suzuki
4. Furu Wei
5. Kaitao Song
6. Jin-ge Yao
7. Xiangyu Duan
8. Qingyu Zhou
9. Lior Fox
10. Yuta Kikuchi

Papers from Ayana's perspective

Ordered by how strongly the researchers Ayana 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
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

• Neural Headline Generation with Minimum Risk Training (2016) — 55 citations
• Zero-Shot Cross-Lingual Neural Headline Generation (2018) — 54 citations
• Neural Headline Generation with Sentence-wise Optimization (2016) — 41 citations