Christina Heinze

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Christina Heinze trusts overall

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

  1. John C. Duchi
  2. Nir Ailon
  3. Shai Shalev-Shwartz
  4. Yuchen Zhang
  5. Michael I. Jordan
  6. Joel A. Tropp
  7. Martin J. Wainwright
  8. Peter Richtárik
  9. Tong Zhang
  10. B. Recht

Who trusts Christina Heinze overall

  1. Jakub Konecný
  2. Virginia Smith
  3. Chenxin Ma
  4. Christina Heinze-Deml
  5. Martin Jaggi
  6. Brian McWilliams
  7. Celestine Mendler-Dünner
  8. Nicolai Meinshausen
  9. Simone Forte
  10. Diviyan Kalainathan

Papers from Christina Heinze's perspective

Ordered by how strongly the researchers Christina Heinze 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. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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