Jörg Kindermann

Natural Language Processing · 1989–2003

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Jörg Kindermann trusts overall

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

  1. Thorsten Joachims
  2. Richard S. Sutton
  3. Yuhai Wu
  4. David E. Rumelhart
  5. Susan T. Dumais
  6. Paul J. Werbos
  7. Geoffrey E. Hinton
  8. Geoffrey Sampson

Who trusts Jörg Kindermann overall

  1. Aravindh Mahendran
  2. Alexey Dosovitskiy
  3. Andrea Vedaldi
  4. Raymond A. Yeh
  5. Efstathios Stamatatos
  6. Thomas Brox
  7. Ziqi Yang
  8. Shumeet Baluja
  9. Samer Hassan
  10. Roberto Perdisci

Papers from Jörg Kindermann's perspective

Ordered by how strongly the researchers Jörg Kindermann 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. Learning representations by back-propagating errors
  4. Gradient-based learning applied to document recognition
  5. Statistical Learning Theory
  6. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Temporal credit assignment in reinforcement learning
  9. Long Short-Term Memory
  10. Foundations of Statistical Natural Language Processing

Their papers