Ralf Klinkenberg

Artificial Intelligence · 2000–2014

A researcher in the Science corpus: 6 papers; trusts 47 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

Whom Ralf Klinkenberg trusts overall

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

  1. Thorsten Joachims
  2. Yuhai Wu
  3. Roger Fletcher
  4. Charu C. Aggarwal
  5. Bernhard Schölkopf
  6. Leo Breiman
  7. Radford M. Neal
  8. Vladimir Naumovich Vapni
  9. David Hilton Wolpert
  10. Yoav Freund

Who trusts Ralf Klinkenberg overall

  1. João Gama
  2. Alexey Tsymbal
  3. Indrė Žliobaitė
  4. Ioannis Manousos Katakis
  5. J. Kolter
  6. Bartosz Krawczyk
  7. Albert Bifet
  8. Adeleh Bitarafan
  9. András A. Benczúr
  10. Florentino Fernández Riverola

Papers from Ralf Klinkenberg's perspective

Ordered by how strongly the researchers Ralf Klinkenberg 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers