Stefan Bauer

Computer Vision and Pattern Recognition · arXiv.org · 2011–2018

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Bauer trusts overall

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

  1. Christopher K. I. Williams
  2. Chih-Jen Lin
  3. Yuri Boykov
  4. Arthur P. Dempster
  5. Sean Ho
  6. Elizabeth Bullitt
  7. Nan M. Laird
  8. G. Funka-Lea
  9. Jason J. Corso
  10. Donald B. Rubin

Who trusts Stefan Bauer overall

  1. A. Işın
  2. Sérgio Pereira
  3. Shaoguo Cui
  4. Liu Jin
  5. Cem Direkoǧlu
  6. Adriano Pinto
  7. Mohammad Havaei
  8. Melike Šah
  9. Darko Zikic
  10. Victor Alves

Papers from Stefan Bauer's perspective

Ordered by how strongly the researchers Stefan Bauer 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. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Support-Vector Networks
  9. Random Forests
  10. Learning Multiple Layers of Features from Tiny Images

Their papers