Barbara Rakitsch

Genetics · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Barbara Rakitsch trusts overall

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

  1. Gerd Kempermann
  2. George Davey Smith
  3. Hyun Min Kang
  4. Hao Zhang
  5. Christoph Lippert
  6. Jennifer Listgarten
  7. Ben J. Hayes
  8. Carl E. Rasmussen
  9. Lin S. Chen
  10. Arthur Gretton

Papers from Barbara Rakitsch's perspective

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

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

Their papers