Thuy Vu

Artificial Intelligence · with Moschitti · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 93 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #13,496 of 35,345 by trust here, #22,463 by citations
• Natural Language Processing — 35 citations into it; #2,532 of 5,688 by trust here, #4,250 by citations
• Computer Vision and Pattern Recognition — 18 citations into it; #8,853 of 21,575 by trust here, #14,822 by citations
• Evaluation & Benchmarks — 13 citations into it
• Large Language Models — 13 citations into it
• Information Retrieval & Search — 10 citations into it
• Information Systems — 7 citations into it

Whom Thuy Vu trusts overall

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

1. Diederik P. Kingma
2. Jacob Devlin
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Loshchilov
6. Jimmy Ba
7. Ilya Sutskever
8. Ashish Vaswani
9. Alex Krizhevsky
10. Chirag Shah

Who trusts Thuy Vu overall

1. Luca Soldaini
2. Alessandro Moschitti
3. Jimmy J. Lin
4. Yoshitomo Matsubara
5. Andreas Ruckl'e
6. Rujun Han
7. Chao-Chun Hsu

Papers from Thuy Vu's perspective

Ordered by how strongly the researchers Thuy Vu 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. 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection (2019) — 233 citations
• Reranking for Efficient Transformer-based Answer Selection (2020) — 48 citations
• AVA: an Automatic eValuation Approach to Question Answering Systems (2020) — 17 citations