Tingting Jiang
Statistics and Probability · with Bates · 2016
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 15 citations into it
- Optimization & Training — 11 citations into it
- Model Architectures — 6 citations into it
Whom Tingting Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tingting Jiang's perspective
Ordered by how strongly the researchers Tingting Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Dropout: a simple way to prevent neural networks from overfitting
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images