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

Whom Andreas Christe trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Andrew L. Maas
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Yann LeCun

Who trusts Andreas Christe overall

  1. Adnan Qayyum

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.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers