Dat Quoc Nguyen

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 170 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 104 citations into it; #11,064 of 35,345 by trust here, #10,667 by citations
• Natural Language Processing — 69 citations into it; #2,988 of 5,688 by trust here, #4,601 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #11,469 of 21,575 by trust here, #17,757 by citations
• Model Architectures — 16 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Large Language Models — 14 citations into it
• Molecular Biology — 14 citations into it; #16,491 of 17,773 by trust here, #17,184 by citations
• Information Systems — 13 citations into it

Whom Dat Quoc Nguyen trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Christopher D. Manning
4. Timothy Dozat
5. Yoshua Bengio
6. Ilya Sutskever
7. Tomas Mikolov
8. Ruslan Salakhutdinov
9. Alex Krizhevsky
10. Sepp Hochreiter

Who trusts Dat Quoc Nguyen overall

1. Maarten Grootendorst
2. Francesco Barbieri
3. Muhammad Abdul-Mageed
4. Fajri Koto
5. Debora Nozza
6. Tanmay Garg
7. Adji Bousso Dieng
8. Margarita Rodríguez-Ibáñez
9. Linting Xue
10. Daniel Loureiro

Papers from Dat Quoc Nguyen's perspective

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

• PhoBERT: Pre-trained language models for Vietnamese (2020) — 469 citations
• From POS tagging to dependency parsing for biomedical event extraction (2018) — 36 citations
• BERTweet: A pre-trained language model for English Tweets (2020) — 1,111 citations
• A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (2017) — 829 citations
• Improving Topic Models with Latent Feature Word Representations (2015) — 358 citations