Thanh Huy Nguyen

Optimization & Training · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 14 citations into it
• Artificial Intelligence — 11 citations into it
• Computational Mechanics — 10 citations into it
• Statistics and Probability — 6 citations into it

Whom Thanh Huy Nguyen trusts overall

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

1. Radford M. Neal
2. Yurii E. Nesterov
3. Jorge Nocedal
4. Max Welling
5. Alekh Agarwal

Papers from Thanh Huy Nguyen's perspective

Ordered by how strongly the researchers Thanh Huy 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. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Large Scale Distributed Deep Networks
7. Attention is All you Need (Neural Information Processing Systems)
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

• Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization (2018) — 22 citations