Ngoc-Bao Nguyen

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 327 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 112 citations into it; #15,155 of 21,575 by trust here, #12,419 by citations
• Generative Models — 99 citations into it
• Artificial Intelligence — 64 citations into it; #24,624 of 35,345 by trust here, #18,586 by citations
• Optimization & Training — 18 citations into it
• Representation & Self-Supervised Learning — 18 citations into it
• Statistical and Nonlinear Physics — 18 citations into it
• Media Technology — 8 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Ngoc-Bao Nguyen trusts overall

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

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

Who trusts Ngoc-Bao Nguyen overall

1. Jongheon Jeong
2. Ngoc-Trung Tran

Papers from Ngoc-Bao Nguyen's perspective

Ordered by how strongly the researchers Ngoc-Bao 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• On Data Augmentation for GAN Training (2020) — 344 citations
• An Improved Self-supervised GAN via Adversarial Training (2019) — 14 citations
• Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game (2019) — 68 citations