Thanh Tien Vu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it

Whom Thanh Tien Vu trusts overall

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

1. Vladimir Naumovich Vapni
2. Robert E. Schapire
3. Hyun Kang
4. Alex Smola
5. Leo Breiman
6. Vladimir Naumovich Vapnik
7. James Bergstra
8. Jui-Sheng Chou
9. Tianqi Chen
10. Jiawei Han

Papers from Thanh Tien Vu's perspective

Ordered by how strongly the researchers Thanh Tien Vu 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. Rectified Linear Units Improve Restricted Boltzmann Machines
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Deep Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Efficient machine learning models for prediction of concrete strengths (2021) — 483 citations