Klaus{robert M Uller

Artificial Intelligence · 2016

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

Subfields

Whom Klaus{robert M Uller trusts

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

  1. Rob Fergus (in Computer Vision and Pattern Recognition)
  2. Matthew D. Zeiler (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Karen Simonyan (in Computer Vision and Pattern Recognition)
  5. Andrea Vedaldi (in Computer Vision and Pattern Recognition)

Papers from Klaus{robert M Uller's perspective

Ordered by how strongly the researchers Klaus{robert M Uller trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Going deeper with convolutions
  2. Visualizing and Understanding Convolutional Networks
  3. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
  4. Natural Language Processing (Almost) from Scratch
  5. ImageNet classification with deep convolutional neural networks
  6. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
  7. Evaluating the Visualization of What a Deep Neural Network Has Learned
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Review and comparison of methods to study the contribution of variables in artificial neural network models

Their papers