Shiwen Zhao
Statistics and Probability · 2016
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 20 citations into it
- Artificial Intelligence — 11 citations into it
- Computational Mechanics — 8 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Molecular Biology — 8 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
Whom Shiwen Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael E. Tipping
- Radford M. Neal
- Matthieu Kowalski
- Francis R. Bach
- Hui Zou
- Robert Tibshirani
- Neil D. Lawrence
- Thorsten Joachims
- Trevor J. Hastie
- Sam T. Roweis
Who trusts Shiwen Zhao overall
Papers from Shiwen Zhao's perspective
Ordered by how strongly the researchers Shiwen Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Bayesian group factor analysis with structured sparsity (2016) — 171 citations