Andrew Hoang

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 22 citations into it
• Artificial Intelligence — 21 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Andrew Hoang trusts overall

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

1. Chin-Yew Lin
2. Alec Radford
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Jacob Devlin
8. Richard Socher
9. Alex Krizhevsky
10. Peter J. Liu

Who trusts Andrew Hoang overall

1. Arthur Bravzinskas
2. Mirella Lapata

Papers from Andrew Hoang's perspective

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

Their papers

• Efficient Adaptation of Pretrained Transformers for Abstractive Summarization (2019) — 44 citations