Renzhe Xu

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 152 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 181 citations into it
• Computer Vision and Pattern Recognition — 109 citations into it
• Safety, Robustness & Interpretability — 50 citations into it
• Statistics and Probability — 23 citations into it
• Management Science and Operations Research — 12 citations into it
• Causal Inference & Discovery — 11 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Renzhe Xu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Kaiming He
5. Yoshua Bengio
6. Yann LeCun
7. Ilya Sutskever
8. Ross B. Girshick
9. Antonio Torralba
10. Jia Deng

Papers from Renzhe Xu's perspective

Ordered by how strongly the researchers Renzhe Xu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Stable Learning for Out-Of-Distribution Generalization (2021) — 332 citations
• Towards Out-Of-Distribution Generalization: A Survey (2021) — 709 citations