Vu Nguyen

Artificial Intelligence · with Kessler · 2019

A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Probabilistic & Bayesian Methods — 18 citations into it
• Meta & Continual Learning — 13 citations into it
• Optimization & Training — 10 citations into it
• Generative Models — 5 citations into it
• Reinforcement Learning — 5 citations into it

Whom Vu Nguyen trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Marco Cote
4. Radford M. Neal
5. Michael I. Jordan
6. Yoshua Bengio
7. Matthew D. Hoffman
8. Jimmy Ba
9. Alex Krizhevsky
10. David M. Blei

Who trusts Vu Nguyen overall

1. Sanyam Kapoor
2. Nikhil Mehta

Papers from Vu Nguyen's perspective

Ordered by how strongly the researchers Vu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Hierarchical Indian buffet neural networks for Bayesian continual learning (2019) — 26 citations
• Indian Buffet Neural Networks for Continual Learning (2019) — 6 citations