Yitao Peng

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Model Architectures — 6 citations into it

Whom Yitao Peng trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Jia Deng
4. Oscar Li
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yoshua Bengio
9. X. Zhang
10. Ross B. Girshick

Papers from Yitao Peng's perspective

Ordered by how strongly the researchers Yitao Peng 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Decoupling Deep Learning for Interpretable Image Recognition (2022) — 6 citations