Trung-Kien Nguyen

Computer Vision and Pattern Recognition · with Tran · 2020

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Generative Models — 42 citations into it
• Artificial Intelligence — 29 citations into it

Whom Trung-Kien Nguyen trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Ngoc-Trung Tran
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ian J. Goodfellow
7. Kaiming He
8. Yann LeCun
9. Jeff Donahue
10. Ilya Sutskever

Papers from Trung-Kien Nguyen's perspective

Ordered by how strongly the researchers Trung-Kien Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On Data Augmentation for GAN Training (2020) — 344 citations