Matthias Kümmerer

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 124 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Kümmerer trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. B. Tatler
  4. Ilya Sutskever
  5. Tilke Judd
  6. Matthew D. Zeiler
  7. Christian Szegedy
  8. Jia Deng
  9. Yangqing Jia
  10. Rob Fergus

Who trusts Matthias Kümmerer overall

  1. Junting Pan
  2. Wenguan Wang
  3. Marcella Cornia
  4. Jia Li
  5. Lucas Theis
  6. Jianbing Shen
  7. Lorenzo Baraldi
  8. Radoslaw Martin Cichy
  9. Srinivas S. S. Kruthiventi
  10. Pantelis Linardatos

Papers from Matthias Kümmerer's perspective

Ordered by how strongly the researchers Matthias Kümmerer 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers