Zehui Cao
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 113 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 82 citations into it; #30,872 of 35,345 by trust here, #30,347 by citations
- Optimization & Training — 66 citations into it
- Computer Vision and Pattern Recognition — 35 citations into it
- Computational Mechanics — 28 citations into it
- Probabilistic & Bayesian Methods — 18 citations into it
- Statistics and Probability — 18 citations into it
- Computational Theory and Mathematics — 15 citations into it
- Numerical Analysis — 13 citations into it
Whom Zehui Cao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James Martens
- Geoffrey E. Hinton
- Radford M. Neal
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Yann LeCun
- Alex Krizhevsky
- L. Eon Bottou
- Jorge Nocedal
Who trusts Zehui Cao overall
Papers from Zehui Cao's perspective
Ordered by how strongly the researchers Zehui Cao 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Survey of Optimization Methods From a Machine Learning Perspective (2019) — 672 citations