Chun Yuan

Computer Vision and Pattern Recognition · with Bai · 2020

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 23 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Chun Yuan trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. David John Cameron MacKay
5. Yoshua Bengio
6. Thomas G. Dietterich
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Loshchilov
10. Ilya Sutskever

Papers from Chun Yuan's perspective

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

Their papers

• TranSlider: Transfer Ensemble Learning from Exploitation to Exploration (2020) — 13 citations