Michael Fauser

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 4 papers; trusts 76 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Fauser trusts overall

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

  1. Alex Krizhevsky
  2. Paul Bergmann
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yann LeCun
  6. Kaiming He
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Zhou Wang
  10. L. Eon Bottou

Who trusts Michael Fauser overall

  1. Kilian Batzner
  2. Paul Bergmann
  3. Niv Cohen
  4. Hanqiu Deng
  5. Yang Zou
  6. Jongheon Jeong
  7. Sungwook Lee
  8. Pankaj Kumar Mishra
  9. Vitjan Zavrtanik
  10. Karsten Roth

Papers from Michael Fauser's perspective

Ordered by how strongly the researchers Michael Fauser trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. GENERATIVE ADVERSARIAL NETS

Their papers