Qing Cai
Artificial Intelligence · with Gao · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it
- Optimization & Training — 5 citations into it
Whom Qing Cai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Qing Cai's perspective
Ordered by how strongly the researchers Qing Cai trusts endorse each paper. Same corpus, a different order for every researcher.
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Understanding the difficulty of training deep feedforward neural networks
- ImageNet classification with deep convolutional neural networks
- Identity Mappings in Deep Residual Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Representation Learning: A Review and New Perspectives
- Long Short-Term Memory