Kate Crawford

with Calo · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 16 researchers here, as inferred from the citation graph.

Whom Kate Crawford trusts overall

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

  1. Latanya Sweeney
  2. Alex Krizhevsky
  3. Joy Buolamwini
  4. Lisa Feldman Barrett

Who trusts Kate Crawford overall

  1. Emily L. Denton
  2. Inioluwa Deborah Raji
  3. A. Hanna
  4. Carsten Schwemmer
  5. Cynthia C. S. Liem
  6. Ben Hutchinson
  7. Emilio Ferrara
  8. Vincent C. Müller
  9. Nick Couldry
  10. Jack Stilgoe

Papers from Kate Crawford's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
  8. Sorting Things Out - Classification and Its Consequences
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers