Kai Sun
Artificial Intelligence · with Guitton · 2013–2020
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
- Privacy & Security — 34 citations into it
- Safety, Robustness & Interpretability — 27 citations into it
- Optimization & Training — 26 citations into it
- Sociology and Political Science — 9 citations into it
- Management Science and Operations Research — 7 citations into it
Whom Kai Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- H. Brendan McMahan
- L. Eon Bottou
- Jakub Konecný
- Geoffrey E. Hinton
- Reza Shokri
- Kamalika Chaudhuri
- Alex Krizhevsky
- Craig Gentry
- Latanya Sweeney
Who trusts Kai Sun overall
Papers from Kai Sun's perspective
Ordered by how strongly the researchers Kai Sun 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)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Graphlet-based measures are suitable for biological network comparison (2013) — 89 citations
- Privacy preservation in federated learning: An insightful survey from the GDPR perspective (2020) — 368 citations