Xiaolu Zhang
Artificial Intelligence · with Liu · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Safety, Robustness & Interpretability — 12 citations into it
- Privacy & Security — 10 citations into it
Whom Xiaolu Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Xiaolu Zhang's perspective
Ordered by how strongly the researchers Xiaolu Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet classification with deep convolutional neural networks
- Dropout: a simple way to prevent neural networks from overfitting
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions