Tianzong Yu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 17 citations into it

Whom Tianzong Yu trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Yann LeCun
4. Ning Qian
5. Geoffrey E. Hinton
6. Kaiming He
7. Yoshua Bengio
8. Jimmy Ba
9. L. Eon Bottou
10. Max Welling

Who trusts Tianzong Yu overall

1. Youngjae Min
2. Kwangjun Ahn

Papers from Tianzong Yu's perspective

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

Their papers

• Recursive Least Squares for Training and Pruning Convolutional Neural Networks (2022)