Yi Ding
Cognitive Neuroscience · with Guan · 2021
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 17 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Yi Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Craig
- Christian Szegedy
- Sergey Ioffe
- Karen Simonyan
- Yousef Rezaei Tabar
- Yun Zhai
- Sudhir Varma
- Mohammad Soleymani
- Siavash Sakhavi
- Jinpeng Li
Papers from Yi Ding's perspective
Ordered by how strongly the researchers Yi Ding 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)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)