Shuguang
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Optimization & Training — 18 citations into it
- Probabilistic & Bayesian Methods — 13 citations into it
- Computer Networks and Communications — 7 citations into it
- Model Architectures — 7 citations into it
- Privacy & Security — 7 citations into it
Whom Shuguang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shuguang's perspective
Ordered by how strongly the researchers Shuguang 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)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Distilling the Knowledge in a Neural Network (arXiv.org)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Layer Normalization
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)