RuiMin Hu
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it; #30,650 of 35,345 by trust here, #26,682 by citations
- Computer Vision and Pattern Recognition — 11 citations into it; #18,770 of 21,575 by trust here, #17,258 by citations
- Optimization & Training — 9 citations into it
- Model Architectures — 7 citations into it
Whom RuiMin Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Geoffrey E. Hinton
- Alex Krizhevsky
- Matthew D. Zeiler
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Sergey Ioffe
- Christian Szegedy
- Ilya Sutskever
Who trusts RuiMin Hu overall
Papers from RuiMin Hu's perspective
Ordered by how strongly the researchers RuiMin Hu 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)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images