Jie Shao
Artificial Intelligence · with An · 2015
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
Whom Jie Shao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jie Shao's perspective
Ordered by how strongly the researchers Jie Shao 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)
- Gradient-based learning applied to document recognition
- Learning Deep Architectures for AI
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
Their papers
- Modeling of nonlinear system based on deep learning framework (2015) — 96 citations