Daniel Borkan

Safety, Robustness & Interpretability · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Borkan trusts overall

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

  1. Lucas Dixon
  2. Moritz Hardt
  3. Ellery Wulczyn
  4. Tim Brennan
  5. Alex Beutel
  6. Nithum Thain
  7. Eric Price
  8. William Dieterich
  9. Jilin Chen

Who trusts Daniel Borkan overall

  1. Yi Tay
  2. Oguzhan Gencoglu
  3. Alexandros Xenos
  4. Svetlana Kiritchenko
  5. Sunipa Dev
  6. Ben Hutchinson
  7. Debora Nozza
  8. Elliot Creager
  9. John Pavlopoulos
  10. Mengyao Cao

Papers from Daniel Borkan's perspective

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

  1. Equality of Opportunity in Supervised Learning
  2. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  3. Certifying and Removing Disparate Impact
  4. Inherent Trade-Offs in the Fair Determination of Risk Scores
  5. Measuring and Mitigating Unintended Bias in Text Classification
  6. Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
  7. Counterfactual Fairness in Text Classification through Robustness
  8. Reducing Gender Bias in Abusive Language Detection
  9. Adversarial Removal of Demographic Attributes from Text Data
  10. The (Im)possibility of fairness

Their papers