Yang Tan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 158 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Yang Tan trusts overall

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

1. Kaiming He
2. Marco Cuturi
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Jeff Donahue
7. Yoshua Bengio
8. Yann LeCun
9. Diederik P. Kingma
10. X. Zhang

Papers from Yang Tan's perspective

Ordered by how strongly the researchers Yang Tan 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations (2021) — 92 citations