Kate Crawford

Computer Vision and Pattern Recognition · with Ananny · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Kate Crawford trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Who trusts Kate Crawford

  1. Ana Marasovic (in Artificial Intelligence)
  2. Emily L. Denton (in Artificial Intelligence)
  3. Sarah Wiegreffe (in Artificial Intelligence)
  4. A. Hanna (in Artificial Intelligence)
  5. Jack Bandy (in Evaluation & Benchmarks)
  6. Nicholas Vincent (in Evaluation & Benchmarks)
  7. Hanna M. Wallach (in Artificial Intelligence)

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: A large-scale hierarchical image database
  2. Learning Multiple Layers of Features from Tiny Images
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  5. Datasheets for datasets
  6. Model Cards for Model Reporting
  7. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
  8. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
  9. The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards
  10. Data and its (dis)contents: A survey of dataset development and use in machine learning research

Their papers