Hilary Nicole

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hilary Nicole trusts

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

  1. Rob Kitchin (in Information Systems and Management)
  2. Nick Seaver (in Human-Computer Interaction)
  3. Rob Fergus (in Computer Vision and Pattern Recognition)
  4. Lilly C. Irani (in Computer Science Applications)
  5. Antonio Torralba (in Computer Vision and Pattern Recognition)
  6. Kate Crawford (in Evaluation & Benchmarks)
  7. Trevor Paglen (in Evaluation & Benchmarks)
  8. Benjamin Heinzerling (in Evaluation & Benchmarks)

Papers from Hilary Nicole's perspective

Ordered by how strongly the researchers Hilary Nicole 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. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  4. Deep Learning
  5. Equality of Opportunity in Supervised Learning
  6. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
  7. ShapeNet: An Information-Rich 3D Model Repository
  8. Model Cards for Model Reporting
  9. Datasheets for datasets
  10. Does Object Recognition Work for Everyone?

Their papers