Sandra Hirche

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sandra Hirche trusts overall

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

  1. Stefan Schaal
  2. Gabriel Taubin
  3. Steven M. LaValle
  4. Olga Sorkine-Hornung
  5. Mario Botsch
  6. Sergey Levine
  7. Oliver Brock
  8. Sertac Karaman
  9. Geoffrey E. Hinton
  10. Tamar Flash

Who trusts Sandra Hirche overall

  1. Seyed Reza Ahmadzadeh

Papers from Sandra Hirche's perspective

Ordered by how strongly the researchers Sandra Hirche 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Dropout: a simple way to prevent neural networks from overfitting
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers