Thao Nguyen

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 135 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it; #20,035 of 35,345 by trust here, #16,471 by citations
• Computer Vision and Pattern Recognition — 36 citations into it
• Model Architectures — 12 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Safety, Robustness & Interpretability — 10 citations into it
• Optimization & Training — 7 citations into it

Whom Thao Nguyen trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Maithra Raghu
6. Diederik P. Kingma
7. Yann LeCun
8. Ilya Sutskever
9. Jia Deng
10. Christian Szegedy

Who trusts Thao Nguyen overall

1. Namuk Park
2. Simon Kornblith
3. Wei-Hong Li
4. Tom George Grigg
5. Maithra Raghu
6. Songkuk Kim
7. Xialei Liu
8. Ting-Li Chen
9. Dan Busbridge
10. Thomas Unterthiner

Papers from Thao Nguyen's perspective

Ordered by how strongly the researchers Thao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth (2020) — 340 citations
• Concept Bottleneck Models (2020) — 1,388 citations