Xingxuan Zhang
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 Xingxuan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Antonio Torralba
- Jia Deng
- Ross B. Girshick
Who trusts Xingxuan Zhang overall
Papers from Xingxuan Zhang's perspective
Ordered by how strongly the researchers Xingxuan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- 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