Stephan Bloehdorn

Artificial Intelligence · 2006–2007

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Stephan Bloehdorn trusts overall

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

  1. Nello Cristianini
  2. John Shawe-Taylor
  3. Risi Kondor
  4. Bernhard Schölkopf
  5. Huma Mahmood Lodhi
  6. Alex Smola
  7. Dell Zhang
  8. David Haussler
  9. John D. Lafferty
  10. Thomas Gärtner

Who trusts Stephan Bloehdorn overall

  1. Petar Ristoski
  2. Gerben de Vries
  3. Heiko Paulheim
  4. Aasish Pappu
  5. Michael Sejr Schlichtkrull
  6. Micah Hodosh
  7. Danilo Croce
  8. S. D. de Rooij
  9. Alessandro Moschitti
  10. Alexander I. Rudnicky

Papers from Stephan Bloehdorn's perspective

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

Their papers