Elisabeth Nieuwburg

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Elisabeth Nieuwburg trusts overall

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

  1. Finale Doshi-Velez
  2. Bradley Hayes
  3. Amina Adadi
  4. Jonathan L. Herlocker
  5. Been Kim

Papers from Elisabeth Nieuwburg's perspective

Ordered by how strongly the researchers Elisabeth Nieuwburg 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Explanation in Artificial Intelligence: Insights from the Social Sciences
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. Towards A Rigorous Science of Interpretable Machine Learning
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers