Line Kühnel

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Line Kühnel trusts overall

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

  1. Xavier Pennec
  2. Bernard Delyon
  3. P. T. Fletcher
  4. Yoshua Bengio
  5. Ying Hu
  6. Diederik P. Kingma

Who trusts Line Kühnel overall

  1. Yujun Shen

Papers from Line Kühnel's perspective

Ordered by how strongly the researchers Line Kühnel trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers