Ngoc-Son Vu

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 147 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Meta & Continual Learning — 19 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 5 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom Ngoc-Son Vu trusts overall

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

1. R. M. French
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Marc'Aurelio Ranzato
9. Ilya Sutskever
10. Li Deng

Who trusts Ngoc-Son Vu overall

1. Da-Wei Zhou

Papers from Ngoc-Son Vu's perspective

Ordered by how strongly the researchers Ngoc-Son Vu 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Online Task-free Continual Learning with Dynamic Sparse Distributed Memory (2022) — 22 citations