Holger Strubberg

Artificial Intelligence · 2017

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 Holger Strubberg trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. L. Eon Bottou

Papers from Holger Strubberg's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Improving neural networks by preventing co-adaptation of feature detectors
  3. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  4. ImageNet classification with deep convolutional neural networks
  5. Pattern Recognition and Machine Learning
  6. What is the best multi-stage architecture for object recognition?
  7. Gradient-based learning applied to document recognition
  8. Random Forests
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Scikit-learn: Machine Learning in Python

Their papers