Trong Nghia Hoang

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #23,722 of 35,345 by trust here, #11,750 by citations

Whom Trong Nghia Hoang trusts overall

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

1. Thomas G. Dietterich

Who trusts Trong Nghia Hoang overall

1. Qinbin Li

Papers from Trong Nghia Hoang's perspective

Ordered by how strongly the researchers Trong Nghia Hoang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distilling the Knowledge in a Neural Network (arXiv.org)
2. Automatic differentiation in PyTorch
3. Random Forests
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Multilayer feedforward networks are universal approximators
9. On the Convergence of Adam and Beyond
10. Least squares quantization in PCM

Their papers

• Bayesian Nonparametric Federated Learning of Neural Networks (2019) — 912 citations
• Statistical Model Aggregation via Parameter Matching (2019) — 38 citations