H. H. Do

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Natural Language Processing — 27 citations into it
• Model Architectures — 8 citations into it

Whom H. H. Do trusts overall

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

1. Yoshua Bengio
2. Kyunghyun Cho
3. Tomas Mikolov
4. Geoffrey E. Hinton
5. Alex Graves
6. Richard Socher
7. Jeffrey L. Elman
8. Dzmitry Bahdanau
9. Yoon Kim
10. Ilya Sutskever

Who trusts H. H. Do overall

1. Nhan Cach Dang
2. Yan Wang
3. María N. Moreno García

Papers from H. H. Do's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review (2019) — 611 citations