Ngoc Thang Vu

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it; #19,584 of 35,345 by trust here, #16,771 by citations
• Natural Language Processing — 44 citations into it; #3,341 of 5,688 by trust here, #4,032 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #14,786 of 21,575 by trust here, #20,271 by citations
• Safety, Robustness & Interpretability — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Ngoc Thang Vu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Karel Veselý
4. Daniel Povey
5. David Yarowsky
6. Arnab Ghoshal
7. Tanja Schultz
8. Frank Torsten Bernd Seide
9. Dumitru Erhan
10. Alex Krizhevsky

Who trusts Ngoc Thang Vu overall

1. Sarah Wiegreffe
2. Kyle Gorman

Papers from Ngoc Thang Vu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. 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

• Multilingual deep neural network based acoustic modeling for rapid language adaptation (2014) — 138 citations
• Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction (2016) — 145 citations
• F1 Is Not Enough! Models and Evaluation towards User-Centered Explainable Question Answering (2020) — 23 citations
• Ensemble Self-Training for Low-Resource Languages: Grapheme-to-Phoneme Conversion and Morphological Inflection (2020) — 15 citations