Pei Yu

Artificial Intelligence · with Chen · 2021

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #31,497 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 31 citations into it; #19,346 of 21,575 by trust here, #19,310 by citations
• Meta & Continual Learning — 18 citations into it; #955 of 1,041 by trust here, #993 by citations
• Representation & Self-Supervised Learning — 13 citations into it

Whom Pei Yu trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Arslan Chaudhry
5. Marc'Aurelio Ranzato
6. Yoshua Bengio
7. Yann LeCun
8. Jia Deng
9. Diederik P. Kingma
10. Ross B. Girshick

Who trusts Pei Yu overall

1. Francesco Pelosin

Papers from Pei Yu's perspective

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

Their papers

• Improving Vision Transformers for Incremental Learning (2021) — 18 citations