Alexander Meinke

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 88 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Meinke trusts overall

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

  1. Alex Krizhevsky
  2. Dan Hendrycks
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Matthias Hein
  6. Ian J. Goodfellow
  7. Yoshua Bengio
  8. Yann LeCun
  9. Antonio Torralba
  10. Kaiming He

Who trusts Alexander Meinke overall

  1. Agustinus Kristiadi
  2. Lukas Ruff
  3. Keke Tang
  4. Matthias Hein
  5. Jacob R. Kauffmann
  6. Dingruibo Miao
  7. Philipp Hennig

Papers from Alexander Meinke's perspective

Ordered by how strongly the researchers Alexander Meinke 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers