Michael Pfeiffer

Electrical and Electronic Engineering · Frontiers in Neuroscience · 2013–2018

A researcher in the Science corpus: 8 papers; trusts 271 researchers and is trusted by 82 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Pfeiffer trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Diederik P. Kingma
  6. Alex Graves
  7. Kaiming He
  8. S. Furber
  9. J. Urgen Schmidhuber
  10. Daniel Neil

Who trusts Michael Pfeiffer overall

  1. Friedemann Zenke
  2. Wei Fang
  3. Aboozar Taherkhani
  4. Benjamin Cramer
  5. Wolfgang Maass
  6. Amirhossein Tavanaei
  7. Amos Sironi
  8. Kaushik Roy
  9. Tim P. Vogels
  10. Ioana Bica

Papers from Michael Pfeiffer's perspective

Ordered by how strongly the researchers Michael Pfeiffer 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers