Kai Dührkop

Artificial Intelligence · 2015–2023

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Dührkop trusts overall

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

  1. Christopher K. I. Williams
  2. John Shawe-Taylor
  3. Alex Smola
  4. Tobias Kind
  5. Nello Cristianini
  6. Felicity Allen
  7. Peter L. Bartlett
  8. J. Platt
  9. Justin Klekota
  10. Geoffrey E. Hinton

Who trusts Kai Dührkop overall

  1. I. Blaženović
  2. Christoph Ruttkies
  3. Tobias Kind

Papers from Kai Dührkop's perspective

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

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

Their papers