Zhongmin Jiang
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 9 citations into it
- Media Technology — 9 citations into it
- Artificial Intelligence — 8 citations into it
- Atmospheric Science — 7 citations into it
- Optimization & Training — 7 citations into it
- Model Architectures — 5 citations into it
Whom Zhongmin Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Yoshua Bengio
- Sergey Ioffe
- Xavier Glorot
- Christian Szegedy
- Yushi Chen
Papers from Zhongmin Jiang's perspective
Ordered by how strongly the researchers Zhongmin Jiang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Dropout: a simple way to prevent neural networks from overfitting