Roland Kreis

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Roland Kreis trusts overall

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

  1. Matthew D. Zeiler
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Kaiming He
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. Nitish Srivastava
  10. Jimmy Ba

Papers from Roland Kreis's perspective

Ordered by how strongly the researchers Roland Kreis 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. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. ImageNet: A large-scale hierarchical image database

Their papers