Kaiming Nan
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Efficiency & Compression — 8 citations into it
- Model Architectures — 7 citations into it
- Optimization & Training — 7 citations into it
- Reinforcement Learning — 7 citations into it
Whom Kaiming Nan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Diederik P. Kingma
- Karen Simonyan
- Ilya Sutskever
- James Bergstra
- Barret Zoph
- Kaiming He
Who trusts Kaiming Nan overall
Papers from Kaiming Nan's perspective
Ordered by how strongly the researchers Kaiming Nan 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)