Ullrich Köthe

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 11 papers; trusts 369 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Ullrich Köthe trusts overall

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

  1. Diederik P. Kingma
  2. Laurent Dinh
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Aapo Hyvärinen
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Kaiming He
  9. Radford M. Neal
  10. Max Welling

Who trusts Ullrich Köthe overall

  1. Carlos Arteta
  2. Daniel Oñoro-Rubio
  3. Victor S. Lempitsky
  4. J. Alison Noble
  5. Shubhra Aich
  6. Elad Walach
  7. Moritz Helmstaedter
  8. Andrew Zisserman
  9. Francesco Locatello
  10. Mario Valerio Giuffrida

Papers from Ullrich Köthe's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers