Tam Le

Artificial Intelligence · with Nguyen · 2020

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Neural Architecture Search & AutoML — 17 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Optimization & Training — 8 citations into it
• Model Architectures — 7 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Tam Le trusts overall

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

1. Alex Kulesza
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Cédric Villani
6. Karen Simonyan
7. Peter I. Frazier
8. Facundo M'emoli
9. Thomas Bäck
10. Jasper Snoek

Who trusts Tam Le overall

1. Xilu Wang

Papers from Tam Le's perspective

Ordered by how strongly the researchers Tam Le 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. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search (2020) — 43 citations