Dominik Ludewig Michels

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Dominik Ludewig Michels trusts overall

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

  1. Radford M. Neal
  2. Alexey Dosovitskiy
  3. Jan Koutník
  4. Geoffrey E. Hinton
  5. J. Urgen Schmidhuber
  6. Sergey Levine
  7. Vladlen Koltun
  8. Volodymyr Mnih
  9. Yann LeCun
  10. Stéphane Ross

Who trusts Dominik Ludewig Michels overall

  1. Jascha Narain Sohl-Dickstein

Papers from Dominik Ludewig Michels's perspective

Ordered by how strongly the researchers Dominik Ludewig Michels 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers