Lily Hu

Safety, Robustness & Interpretability · 2017–2018

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Lily Hu trusts overall

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

  1. Moritz Hardt
  2. Michael Kearns
  3. David Card
  4. Michael Brückner
  5. Emrah Akyol
  6. Cynthia Dwork
  7. Alexandra Chouldechova
  8. Anupam Datta
  9. Jon M. Kleinberg
  10. Kenneth J. Arrow

Who trusts Lily Hu overall

  1. Shira Mitchell
  2. Ben Green
  3. Moein Khajehnejad
  4. Dana Pessach
  5. Eric Potash
  6. Jon M. Kleinberg
  7. Solon Barocas
  8. Alexandra Chouldechova
  9. Hussein Mozannar
  10. Behzad Tabibian

Papers from Lily Hu's perspective

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

  1. Fairness through awareness
  2. Equality of Opportunity in Supervised Learning
  3. ImageNet classification with deep convolutional neural networks
  4. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
  5. Certifying and Removing Disparate Impact
  6. Learning Fair Representations
  7. Inherent Trade-Offs in the Fair Determination of Risk Scores
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Learning Multiple Layers of Features from Tiny Images

Their papers