Anh Gia-Tuan Nguyen
Artificial Intelligence · with Tran · 2015–2023
A researcher in the Science corpus: 6 papers; trusts 221 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 103 citations into it; #11,166 of 35,345 by trust here, #12,974 by citations
- Computer Vision and Pattern Recognition — 57 citations into it; #10,676 of 21,575 by trust here, #10,500 by citations
- Natural Language Processing — 47 citations into it; #2,961 of 5,688 by trust here, #2,263 by citations
- Model Architectures — 11 citations into it
- Safety, Robustness & Interpretability — 11 citations into it
- Question Answering & Reading Comprehension — 9 citations into it
- Optimization & Training — 6 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Anh Gia-Tuan Nguyen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- X. Zhang
- Shaoqing Ren
- Ross B. Girshick
Who trusts Anh Gia-Tuan Nguyen overall
- Dongxian Wu
- Yige Li
- Harsh Trivedi
- Wenkai Yang
- Boshi Wang
- Yisen Wang
- Tushar Khot
- Kechi Zhang
- Lingjuan Lyu
- Xixiang Lyu
Papers from Anh Gia-Tuan Nguyen's perspective
Ordered by how strongly the researchers Anh Gia-Tuan Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps (2020) — 1,443 citations
- Coarse-to-Fine Reasoning for Visual Question Answering (2021) — 48 citations
- Meet in the Middle: A New Pre-training Paradigm (2023) — 28 citations
- CodeT: Code Generation with Generated Tests (2022) — 560 citations
- Input-Aware Dynamic Backdoor Attack (2020) — 571 citations
- Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance (2015) — 426 citations