Lauren Wilcox

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lauren Wilcox trusts overall

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

  1. Monique W. M. Jaspers
  2. Judith Hibbard
  3. Maryellen Lissak Giger

Papers from Lauren Wilcox's perspective

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

  1. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  2. Visualizing Higher-Layer Features of a Deep Network
  3. Understanding Black-box Predictions via Influence Functions
  4. Model Cards for Model Reporting
  5. Datasheets for datasets
  6. Algorithm aversion: people erroneously avoid algorithms after seeing them err.
  7. Manipulating and Measuring Model Interpretability
  8. Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
  9. SmoothGrad: removing noise by adding noise
  10. Power to the People: The Role of Humans in Interactive Machine Learning (The AI Magazine)

Their papers