Bernhard Schlkopf

Statistics and Probability · 2006

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Bernhard Schlkopf trusts overall

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

  1. Yoshua Bengio
  2. Thorsten Joachims
  3. Vladimir Naumovich Vapnik
  4. Geoffrey E. Hinton
  5. Jerome H. Friedman
  6. Radford M. Neal
  7. Michael I. Jordan
  8. Christopher K. I. Williams
  9. Yann LeCun
  10. Alex Krizhevsky

Who trusts Bernhard Schlkopf overall

  1. Marco Loog
  2. Alexander Mey
  3. Lu Liu
  4. Theja Tulabandhula
  5. Ayse Erkan
  6. Jacob Jackson
  7. Atefeh Farzindar
  8. Francesca Bovolo
  9. Fan-Yun Sun
  10. Nematollah Kayhan Batmanghelich

Papers from Bernhard Schlkopf's perspective

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

Their papers