Gabriele Beate Schweikert

Artificial Intelligence · 2007–2008

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gabriele Beate Schweikert trusts overall

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

  1. Hal Daumé Iii
  2. Arthur Gretton
  3. Bernhard E. Boser
  4. Bernhard Schölkopf
  5. Alex Smola
  6. R. Caruana
  7. Vladimir Naumovich Vapnik
  8. Isabelle M Guyon
  9. Kenji Fukumizu

Who trusts Gabriele Beate Schweikert overall

  1. Lixin Duan
  2. Wouter M. Kouw
  3. Bernhard Schölkopf
  4. Christian Widmer
  5. Shiliang Sun
  6. Mateo Rojas-Carulla
  7. Ivor Wai-Hung Tsang
  8. Kevin D. Tang
  9. Esam Othman
  10. Alice Schoenauer Sebag

Papers from Gabriele Beate Schweikert's perspective

Ordered by how strongly the researchers Gabriele Beate Schweikert 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Multitask Learning
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers