Michael Behrisch

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Behrisch trusts overall

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

  1. Daniel Krajzewicz
  2. Jaume Barceló
  3. Geoffrey E. Hinton
  4. Michal Piórkowski
  5. Yoshua Bengio
  6. L. V. D. van der Maaten

Who trusts Michael Behrisch overall

  1. Krzysztof Czarnecki
  2. Jesse Vig
  3. Zhaojun Lu
  4. Fotios Zantalis
  5. Damilola Oladimeji
  6. Gang Qu
  7. David Isele
  8. van der D David Pol
  9. Cathy Wu
  10. Jiachen Yang

Papers from Michael Behrisch's perspective

Ordered by how strongly the researchers Michael Behrisch 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers