Duy-Tin Vo

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 115 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #14,812 of 35,345 by trust here, #25,040 by citations
• Natural Language Processing — 28 citations into it
• Information Systems — 9 citations into it
• Model Architectures — 9 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Duy-Tin Vo trusts overall

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

1. Saif M. Mohammad
2. Tomas Mikolov
3. Yoshua Bengio
4. Richard Socher
5. Ilya Sutskever
6. Geoffrey E. Hinton
7. Duyu Tang
8. Svetlana Kiritchenko
9. Alex Graves
10. C. D. Santos

Who trusts Duy-Tin Vo overall

1. Duyu Tang
2. Anastasia Giahanou
3. Meishan Zhang
4. Bing Qin
5. Xin Li
6. Chen Zhang
7. Rui Xia
8. Zhengjie Gao
9. Hao Tang
10. Ting-Wei Liu

Papers from Duy-Tin Vo's perspective

Ordered by how strongly the researchers Duy-Tin Vo 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Gated Neural Networks for Targeted Sentiment Analysis (2016) — 295 citations
• Target-Dependent Twitter Sentiment Classification with Rich Automatic Features (2015) — 365 citations