Andreas Christe
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 6 citations into it
- Artificial Intelligence — 5 citations into it; #35,307 of 35,345 by trust here, #12,974 by citations
Whom Andreas Christe trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Andreas Christe overall
Papers from Andreas Christe's perspective
Ordered by how strongly the researchers Andreas Christe trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Dropout: a simple way to prevent neural networks from overfitting
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
Their papers
- Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network (2016) — 1,170 citations