Han-Wei Shen
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
- Artificial Intelligence — 15 citations into it
- Safety, Robustness & Interpretability — 9 citations into it
Whom Han-Wei Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Karen Simonyan
- Grgoire Montavon
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Andrew Zisserman
- Ilya Sutskever
Papers from Han-Wei Shen's perspective
Ordered by how strongly the researchers Han-Wei Shen 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
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- 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
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)