Yudong Tao

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it
• Computer Vision and Pattern Recognition — 65 citations into it
• Natural Language Processing — 18 citations into it
• Optimization & Training — 14 citations into it
• ML Systems & Hardware — 5 citations into it

Whom Yudong Tao trusts overall

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

1. Geoffrey E. Hinton
2. Ross B. Girshick
3. Kaiming He
4. Yoshua Bengio
5. Yann LeCun
6. Alex Krizhevsky
7. Ilya Sutskever
8. Diederik P. Kingma
9. Alex Graves
10. Karen Simonyan

Papers from Yudong Tao's perspective

Ordered by how strongly the researchers Yudong Tao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey on Deep Learning (2018) — 912 citations