Min Chen

Artificial Intelligence · with Kim · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Natural Language Processing — 13 citations into it
• Model Architectures — 8 citations into it
• Electrical and Electronic Engineering — 6 citations into it
• Optimization & Training — 5 citations into it
• Signal Processing — 5 citations into it

Whom Min Chen trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Kenneth O. Stanley
4. Karen Simonyan
5. Yoshua Bengio
6. Ilya Sutskever
7. Yann LeCun
8. Alex Krizhevsky
9. Kaiming He
10. Andrew Zisserman

Papers from Min Chen's perspective

Ordered by how strongly the researchers Min Chen 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Brain Intelligence: Go beyond Artificial Intelligence (2017) — 1,015 citations