Thanh N. Tran

Artificial Intelligence · 2014–2017

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

Subfields

• Artificial Intelligence — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Thanh N. Tran trusts overall

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

1. L. Eon Bottou
2. Yoshua Bengio
3. Yann LeCun
4. Alex Krizhevsky

Papers from Thanh N. Tran's perspective

Ordered by how strongly the researchers Thanh N. Tran trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Understanding the difficulty of training deep feedforward neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Efficient BackProp
6. Representation Learning: A Review and New Perspectives
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Convolutional neural networks for vibrational spectroscopic data analysis. (2017) — 406 citations
• Interpretation of variable importance in Partial Least Squares with Significance Multivariate Correlation (sMC) (2014) — 209 citations